Search Results for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z" - Page 23
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Showing 750 open source projects for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z"
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Power through agendas and documents, make more informed decisions and conduct board meetings faster.iBabs not only captures the entire decision-making process – it takes all the paperwork out of meetings. iBabs empowers everyone who has ever organized or attended, a meeting. With a seemingly simple app that offers complete control and a comprehensive overview of all those fiddly details. With about 3000 organizations and over 300,000 users, iBabs gives you peace of mind. So you can quickly organize effective meetings, and good decisions can be made with confidence. iBabs didn’t just happen overnight. We started analyzing and simplifying board meeting processes many years ago. We understand all the work that goes into meetings, and how to streamline everything so it all flows smoothly. On any device, confidentially, securely and automatically. Make good decisions with confidence.
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DataImpulse - Ethical Provider of Residential, Mobile, and Data Center IPsDataImpulse (dataimpulse.com) is a proxy provider offering a pool of over 90 million ethically sourced residential, mobile, and data center IP addresses from 195 countries. Pricing for residential proxies starts at $1 per GB with a pay-as-you-go model; there are no subscriptions or traffic expiration dates.
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textgenrnn
Easily train your own text-generating neural network
...Train on and generate text at either the character-level or word-level. Configure RNN size, the number of RNN layers, and whether to use bidirectional RNNs. Train on any generic input text file, including large files. Train models on a GPU and then use them to generate text with a CPU. Utilize a powerful CuDNN implementation of RNNs when trained on the GPU, which massively speeds up training time as opposed to typical LSTM implementations. Train the model using contextual labels, allowing it to learn faster and produce better results in some cases. -
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FRDCSA
Formalized Research Database: Cluster, Study and Apply
We are creating a large repository of FLOSS AI software that solves problems which affect people through the Free Life Planner and FRDCSA projects. We are making OS packages for external and internal software that employ symbolic AI (Prolog/OpenCYC/etc) and connectionist AI (ML/DL/NN), to solve computational problems. Our goal is to use logic to solve planning problems - to treat the world as a "game" and then win that game by proving that bad things don't happen to people. ... -
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TensorFlow Machine Learning Cookbook
Code for Tensorflow Machine Learning Cookbook
...By combining theoretical explanations with executable code, the project helps developers understand how TensorFlow algorithms operate internally while also providing working examples that can be adapted for real projects. -
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perkun
two experimental AI languages + zubr
Two experimental AI languages - Perkun and its successor Wlodkowic. Attempt to maximize the expected value of the payoff function by appropriate choosing the actions (output variables values). The package contains also a tool called zubr - a Java code generator based on Perkun. Take also a look at my blog: http://pawel-biernacki.blogspot.fi/ For Windows users there is an installer: http://www.pawelbiernacki.net/perkun.msi -
Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers.Paladin Point of Sale is ideal for independent retailers in hardware, lumber, pharmacy, and specialty retail industries seeking an easy-to-use, industry-specific POS system with strong support and flexibility.
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AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning research
...The repository functions as a centralized library where users can quickly access reference materials for both machine learning theory and practical programming tools. Many of the cheat sheets are available as downloadable PDFs and images, allowing learners to keep them as quick references while working on projects. -
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Ai-chan
A simple chat bot written in Python.
Ai-chan is a chat bot you can run offline. You can teach her new conversations, share her memory data, change her appearance, her name, the way she calls you, etc. -
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Delphi Face Recognizer
Delphi Face Recognizer
...Capture faces from Video File Last bug FIXED April_08_2019_12.24pm, X. Recognized Faces Better Bug fixes: xxx Gate ID Multi Face Recognition: $384 (via this HARDCORE Face Recognition) https://sourceforge.net/projects/opencv-multi-face-detect/ C++Builder: https://sourceforge.net/projects/cbuilder-face-recognizer/ -
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EmguCv410 Face Recognition Detect
EmguCv C# OpenCv Cuda Face Recognition + Gender, Emotion, Ethnicity
The site says "Malware detected but NOT TRUE", it's just encrypted! EmguCvSharp Face Detection Full source code: https://sourceforge.net/projects/emgucvsharp-live-face-detect/ . if (CudaInvoke.HasCuda) //THE CODE TO USE CUDA . Emgucv Gender detection Emgucv Emotion detection Emgucv Ethnicity detection Emgucv Face Recognition also includes Pedestrian detection For Live: Face Attendance System, Facial Emotion, Gender Recognition Security Application. ... -
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MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. ... -
Boon: The Agile Referral Hiring PlatformBoon's agile referral platform expands your recruiting power through AI, automation, integrations, and gamification.
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Delphi Face Recognition March_01_2019
Delphi Face Recognition
...Donate and message or mail at dbinxecod@gmail.com RTSP url link updated BUG FIXED! MEMORY LEAK! ADDED 64BIT + TBB HARD BOILED FACE RECOGNITION: https://sourceforge.net/projects/delphi-face-recognizer/ Gate ID Multi Face Recognition: $384 https://sourceforge.net/projects/opencv-multi-face-detect/ Delphi Face Detection: FREE Source code! https://sourceforge.net/projects/delphi-opencv-face-detection/ Works on IP Camera using RTSP. Runs on Windows XP to Windows 10 using SQLite Dataface! ... -
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C++Builder Face Recognition March01_2019
C++Builder Face Recognition
...You can reprogram / setup / configure / scale the Face Recognition accuracy! Delphi Face Detection: FREE Source code! https://sourceforge.net/projects/delphi-opencv-face-detection/ Delphi Face Recognition: https://sourceforge.net/projects/delphi-face-recognition/ Technical Support is always online -
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Papers with Code
List of different papers for coding
...The repository organizes information such as paper titles, conferences, and links to code implementations so that users can explore recent developments in machine learning more efficiently. It was originally created to support the discovery and reproducibility of AI research by connecting scholarly work with working software projects. Although the repository itself is no longer actively maintained, it still provides a historical dataset that reflects many influential research publications and their associated implementations. -
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SSD
A PyTorch Implementation of Single Shot MultiBox Detector
...Its structure makes it useful both as a reference implementation for learning SSD and as a base for custom experimentation in detection research or practical computer vision projects. -
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C++Builder with OpenCv345 face detect
C++Builder face detection
Embarcadero C++ Builder Face Detection FREE Source Code! Delphi and C++Builder FACE RECOGNITION,.... here: C++Builder: https://sourceforge.net/projects/c-builder-face-recognition/ Delphi: https://sourceforge.net/projects/delphi-face-recognition/ -
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Machine Learning Yearning
Machine Learning Yearning
Artificial intelligence, machine learning and deep learning are transforming numerous industries. Professor Andrew Ng is currently writing a book on how to build machine learning projects. The point of this book is not to teach traditional machine learning algorithms, but to teach you how to make machine learning algorithms work. Some technical courses in AI will give you a tool, and this book will teach you how to use those tools. If you aspire to be a technical leader in AI and want to learn how to set a direction for your team, this book will help. ... -
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NN-SVG
Publication-ready NN-architecture schematics
...NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in the LeNet paper, and Deep Neural Network figures following the style introduced in the AlexNet paper. ... -
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Delphi Face Detection
Delphi face detection
...You can reprogram / setup / configure / scale the Face Recognition accuracy! C++Builder Face Detection: FREE Source code! https://sourceforge.net/projects/cbuilder-opencv-face-detection/ C++Builder Face Recognition: https://sourceforge.net/projects/c-builder-face-recognition/ Technical Support is always online, thank you -
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LabelImg
Graphical image annotation tool and label object bounding boxes
LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it also supports YOLO and CreateML formats. Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8. However, Python 3 or above and PyQt5 are strongly recommended. Virtualenv can avoid a lot of the QT / Python version issues. Build and launch using the instructions. ... -
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Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months"
This project lays out a 12-week plan to go from basics to a portfolio-ready understanding of data science. It breaks the journey into clear stages: Python fundamentals, data wrangling, visualization, statistics, machine learning, and end-to-end projects. The schedule mixes learning and doing, encouraging you to build small deliverables each week—like notebooks, dashboards, and model demos—to reinforce skills. It also includes suggestions for datasets and problem domains so you aren’t stuck wondering what to analyze next. The plan is intentionally opinionated but flexible: you can swap resources while keeping the weekly objectives intact. ... -
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TensorImage
Image classification library for easily training and deploying models
...It has a wide range of data augmentation operations that can be performed over training data to prevent overfitting and increase testing accuracy. TensorImage is easy to use and manage as all files, trained models and data are organized within a workspace directory, which you can change at any time in the configuration file, therefore being able have an indefinite amount of workspace directories for different purposes. Moreover, TensorImage can also be used to classify on thousands of images with trained image classification models. -
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Mexopencv
Collection and a development kit of matlab mex functions for OpenCV
mexopencv is a collection of MEX functions that provide MATLAB bindings for OpenCV, the popular computer vision library. It enables MATLAB users to access nearly the full range of OpenCV’s C++ API directly from MATLAB, combining the ease of MATLAB scripting with the performance of OpenCV. -
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Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks"
Learn_Deep_Learning_in_6_Weeks compresses an introductory deep learning curriculum into six weeks of structured learning and practice. It begins with neural network fundamentals and moves through convolutional and recurrent architectures, optimization strategies, regularization, and transfer learning. The materials emphasize code-first understanding: building small models, training them on accessible datasets, and analyzing their behavior. Each week culminates in a tangible outcome—such as a... -
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Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months"
This repository outlines an ambitious self-study curriculum for learning machine learning in roughly three months, emphasizing breadth, momentum, and hands-on practice. It sequences core topics—math foundations, classic ML, deep learning, and applied projects—so learners can pace themselves week by week. The plan mixes reading, lectures, coding assignments, and small build-it-yourself projects to reinforce understanding through repetition and implementation. Because ML is a wide field, the curriculum favors pragmatic coverage over academic completeness, pointing learners to widely used tools and approachable resources. ... -
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TensorFlow Internals
Open source ebook about TensorFlow kernel and implementation
It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, and distributed training for machine learning. -
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MatlabFunc
Matlab codes for feature learning
...These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research domains. The project is intended to provide reusable and adaptable MATLAB code that can save time for researchers and students working on experimental or applied projects. By consolidating these tools in one place, MatlabFunc serves as a practical reference and toolkit for both academic and engineering purposes. Contributions and improvements from the community are encouraged, allowing the repository to grow into a richer resource over time.
