237 projects for "deep learning with python" with 2 filters applied:

  • Rezku Point of Sale Icon
    Rezku Point of Sale

    Designed for Real-World Restaurant Operations

    Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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    Skillfully - The future of skills based hiring

    Realistic Workplace Simulations that Show Applicant Skills in Action

    Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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  • 1
    imgclsmob Deep learning networks

    imgclsmob Deep learning networks

    Sandbox for training deep learning networks

    imgclsmob is a deep learning research repository focused on implementing and experimenting with convolutional neural networks for computer vision tasks. The project serves as a sandbox for training and evaluating a wide variety of neural network architectures used in image analysis. It includes implementations of models used for tasks such as image classification, object detection, semantic segmentation, and pose estimation.
    Downloads: 0 This Week
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  • 2
    The Machine & Deep Learning Compendium

    The Machine & Deep Learning Compendium

    List of references in my private & single document

    The Machine & Deep Learning Compendium is an open-source knowledge repository that compiles summaries, references, and learning materials related to machine learning and deep learning. The project functions as a comprehensive compendium that organizes hundreds of topics covering algorithms, frameworks, research areas, and practical machine learning workflows.
    Downloads: 0 This Week
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  • 3
    Deep Learning Interviews book

    Deep Learning Interviews book

    Hundreds of fully solved job interview questions

    The interviews.ai repository hosts the open materials for the book Deep Learning Interviews, a comprehensive collection of technical questions and fully solved problems covering many aspects of artificial intelligence. The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning.
    Downloads: 0 This Week
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  • 4
    Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning

    Materials for the Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning is an open-source educational repository that provides the full learning materials for the “Learn PyTorch for Deep Learning: Zero to Mastery” course created by Daniel Bourke. The project is designed to teach beginners how to build deep learning models using PyTorch through a hands-on, code-first learning approach. Instead of focusing heavily on theory alone, the repository encourages learners to experiment with code and develop practical machine learning skills through guided examples and exercises. ...
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  • Collect! is a highly configurable debt collection software Icon
    Collect! is a highly configurable debt collection software

    Everything that matters to debt collection, all in one solution.

    The flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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  • 5
    machine learning tutorials

    machine learning tutorials

    machine learning tutorials (mainly in Python3)

    machine-learning is a continuously updated repository documenting the author’s learning journey through data science and machine learning topics using practical tutorials and experiments. The project presents educational notebooks that combine mathematical explanations with code implementations using Python’s scientific computing ecosystem. Topics covered include classical machine learning algorithms, deep learning models, reinforcement learning, model deployment, and time-series analysis. ...
    Downloads: 0 This Week
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  • 6
    RL with PyTorch

    RL with PyTorch

    Clean, Robust, and Unified PyTorch implementation

    RL with PyTorch is a research-oriented repository that provides implementations of deep reinforcement learning algorithms using the PyTorch framework. The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. ...
    Downloads: 0 This Week
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  • 7
    Zero to Mastery Machine Learning

    Zero to Mastery Machine Learning

    All course materials for the Zero to Mastery Machine Learning

    Zero to Mastery Machine Learning is an open-source repository that contains the complete course materials for the Zero to Mastery Machine Learning and Data Science bootcamp. The project provides a structured curriculum designed to teach machine learning and data science using Python through hands-on projects and interactive notebooks. The repository includes datasets, Jupyter notebooks, documentation, and example code that walk learners through the entire machine learning workflow from problem definition to model deployment. ...
    Downloads: 6 This Week
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  • 8
    ML-NLP

    ML-NLP

    This project is a common knowledge point and code implementation

    ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training methods, and common algorithmic techniques. ...
    Downloads: 0 This Week
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  • 9
    machine-learning-refined

    machine-learning-refined

    Master the fundamentals of machine learning, deep learning

    machine-learning-refined is an educational repository designed to help students and practitioners understand machine learning algorithms through intuitive explanations and interactive examples. The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric...
    Downloads: 0 This Week
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  • Field Sales+ for MS Dynamics 365 and Salesforce Icon
    Field Sales+ for MS Dynamics 365 and Salesforce

    Maximize your sales performance on the go.

    Bring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
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  • 10
    TNT

    TNT

    A lightweight library for PyTorch training tools and utilities

    ...This design helps separate concerns such as model training, evaluation, logging, and checkpointing, making machine learning experiments easier to manage. The framework is particularly useful for large-scale experiments where maintaining clear training workflows becomes increasingly important. Because it is built on top of PyTorch, the framework integrates naturally with existing deep learning models and datasets.
    Downloads: 0 This Week
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  • 11
    handson-ml3

    handson-ml3

    Fundamentals of Machine Learning and Deep Learning

    handson-ml3 contains the Jupyter notebooks and code for the third edition of the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. ...
    Downloads: 2 This Week
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  • 12
    AiLearning-Theory-Applying

    AiLearning-Theory-Applying

    Quickly get started with AI theory and practical applications

    AiLearning-Theory-Applying is a comprehensive educational repository designed to help learners quickly understand artificial intelligence theory and apply it in practical machine learning and deep learning projects. The repository provides extensive tutorials covering mathematical foundations, machine learning algorithms, deep learning concepts, and modern large language model architectures. It includes well-commented notebooks, datasets, and implementation examples that allow learners to reproduce experiments and understand the inner workings of various algorithms. ...
    Downloads: 0 This Week
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  • 13
    Ai-Learn

    Ai-Learn

    The artificial intelligence learning roadmap compiles 200 cases

    Ai-Learn is an open-source artificial intelligence learning roadmap that aggregates educational materials, tutorials, and practical projects designed to help beginners study AI and machine learning systematically. The repository was created to help learners start self-study programs in artificial intelligence without getting overwhelmed by the large number of available resources. It organizes topics such as Python programming, mathematics for machine learning, data analysis, deep learning, computer vision, and natural language processing into a structured learning path. ...
    Downloads: 0 This Week
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  • 14
    course.fast.ai

    course.fast.ai

    The fast.ai course notebooks

    course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze results directly in Jupyter notebooks. ...
    Downloads: 2 This Week
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  • 15
    AI-Tutorials/Implementations Notebooks

    AI-Tutorials/Implementations Notebooks

    Codes/Notebooks for AI Projects

    AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics such as computer vision, agent systems, federated learning, distributed systems, adversarial attacks, and generative AI. Many of the tutorials focus on building AI agents, multi-agent systems, and workflows that integrate language models with external tools or APIs. ...
    Downloads: 2 This Week
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  • 16
    handson-ml

    handson-ml

    Teaching you the fundamentals of Machine Learning in python

    handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. ...
    Downloads: 0 This Week
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  • 17
    Watermark-Removal

    Watermark-Removal

    Machine learning image inpainting task that removes watermarks

    Watermark-Removal repository is a machine learning project focused on removing visible watermarks from digital images using deep learning and image inpainting techniques. The system analyzes an image containing a watermark and attempts to reconstruct the underlying visual content so that the watermark is removed while preserving the original appearance of the image. The project uses neural network models inspired by research in contextual attention and gated convolution, which are methods commonly applied to image restoration tasks. ...
    Downloads: 3 This Week
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  • 18
    NVIDIA PhysicsNeMo

    NVIDIA PhysicsNeMo

    Open-source deep-learning framework for building and training

    NVIDIA PhysicsNeMo is an open-source deep learning framework designed for building artificial intelligence models that incorporate physical laws and scientific knowledge into machine learning workflows. The framework focuses on the emerging field of physics-informed machine learning, where neural networks are used alongside physical equations to model complex scientific systems.
    Downloads: 0 This Week
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  • 19
    thorough-pytorch

    thorough-pytorch

    PyTorch Getting Started Tutorial, read online

    thorough-pytorch is an educational project designed to teach deep learning using the PyTorch framework through a structured learning series. The repository provides tutorials and practical exercises that guide learners from fundamental PyTorch concepts to more advanced deep learning techniques. It emphasizes a learning approach that combines theoretical explanations with hands-on coding exercises so that students can build and experiment with neural networks directly. ...
    Downloads: 0 This Week
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  • 20
    deepjazz

    deepjazz

    Deep learning driven jazz generation using Keras & Theano

    deepjazz is a deep learning project that generates jazz music using recurrent neural networks trained on MIDI files. The repository demonstrates how machine learning can learn musical structure and produce original compositions. It uses the Keras and Theano libraries to build a two-layer Long Short-Term Memory network capable of learning temporal patterns in music.
    Downloads: 0 This Week
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  • 21
    Amazing-Python-Scripts

    Amazing-Python-Scripts

    Curated collection of Amazing Python scripts

    Amazing-Python-Scripts is a collaborative repository that collects a wide variety of Python scripts designed to demonstrate practical programming techniques and automation tasks. The project includes scripts ranging from beginner-level utilities to more advanced applications involving machine learning, data processing, and system automation. Its goal is to provide developers with useful coding examples that can solve everyday problems, automate repetitive tasks, or serve as learning exercises. ...
    Downloads: 1 This Week
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  • 22
    machine_learning_examples

    machine_learning_examples

    A collection of machine learning examples and tutorials

    machine_learning_examples is an open-source repository that provides a large collection of machine learning tutorials and practical code examples. The project aims to teach machine learning concepts through hands-on programming rather than purely theoretical explanations. It includes implementations of many machine learning algorithms and neural network architectures using Python and popular libraries such as TensorFlow and NumPy. The repository covers a wide range of topics including supervised learning, unsupervised learning, reinforcement learning, and natural language processing. ...
    Downloads: 0 This Week
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  • 23
    Python Programming Hub

    Python Programming Hub

    Learn Python and Machine Learning from scratch

    Python Programming Hub repository by Tanu-N-Prabhu is an educational resource designed to help programmers learn Python programming and data science concepts through practical examples and notebooks. The project contains a wide range of tutorials and exercises that cover Python fundamentals, programming concepts, and applied techniques for data analysis and machine learning.
    Downloads: 0 This Week
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  • 24
    crème de la crème of AI courses

    crème de la crème of AI courses

    This repository is a curated collection of links to various courses

    ...Topics covered include deep learning, natural language processing, computer vision, large language models, linear algebra, reinforcement learning, and machine learning engineering. Because the repository links to well-known educational content such as university lecture series and professional training materials, it functions as a structured roadmap for individuals who want to develop expertise in artificial intelligence.
    Downloads: 0 This Week
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  • 25
    Reco-papers

    Reco-papers

    Classic papers and resources on recommendation

    Reco-papers is a curated repository that collects influential research papers, technical resources, and industry materials related to recommender systems and recommendation algorithms. The project organizes a large body of literature into thematic sections such as classic recommender systems, exploration-exploitation strategies, deep learning–based recommendation models, and cold-start mitigation techniques. It serves as a reference library for researchers and engineers who want to explore foundational and cutting-edge work in recommendation technologies. The repository includes papers from academic institutions and industry organizations and groups them according to topics such as retrieval and reranking, reinforcement learning in recommendation, and feature engineering infrastructure. ...
    Downloads: 0 This Week
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