Showing 55 open source projects for "tensorflow"

View related business solutions
  • Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes. Icon
    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
    Learn More
  • Self-hosted password manager Icon
    Self-hosted password manager

    Developed and headquartered in Europe (Barcelona, Spain), Passwork meets GDPR, NIS2, ENS and other European regulatory requirements by design.

    On-premise solution with double encryption and certified development processes for maximum protection of corporate data. Zero‑knowledge architecture ensures your passwords never leave your infrastructure.
    Learn More
  • 1
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    ...Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    TensorFlow World

    TensorFlow World

    Simple and ready-to-use tutorials for TensorFlow

    This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    seq2seq

    seq2seq

    A general-purpose encoder-decoder framework for Tensorflow

    seq2seq is an early, influential TensorFlow reference implementation for sequence-to-sequence learning with attention, covering tasks like neural machine translation, summarization, and dialogue. It packaged encoders, decoders, attention mechanisms, and beam search into a modular training and inference framework. The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    PrettyTensor

    PrettyTensor

    Pretty Tensor: Fluent Networks in TensorFlow

    Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • Outplacement, Executive Coaching and Career Development | Careerminds Icon
    Outplacement, Executive Coaching and Career Development | Careerminds

    Careerminds outplacement includes personalized coaching and a high-tech approach to help transition employees back to work faster.

    By helping to avoid the potential risks of RIFs or layoffs through our global outplacement services, companies can move forward with their goals while preserving their internal culture, employer brand, and bottom lines.
    Learn More
  • 5
    context_menu

    context_menu

    A Python library to create and deploy cross-platform native context

    A Python library to create and deploy cross-platform native context. context_menu was created as due to the lack of an intuitive and easy to use cross-platform context menu library. The library allows you to create your own context menu entries and control their behavior seamlessly in native Python code. It's fully documented and used by over 80,000 developers worldwide.
    Downloads: 0 This Week
    Last Update:
    See Project
MongoDB Logo MongoDB