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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Models and examples built with TensorFlow
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
CTF framework and exploit development library
Exploit Development and Reverse Engineering with GDB & LLDB Made Easy
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
TensorFlow Neural Machine Translation Tutorial
XLNet: Generalized Autoregressive Pretraining for Language Understanding
PEDA - Python Exploit Development Assistance for GDB
A general-purpose encoder-decoder framework for Tensorflow
Simple examples to introduce PyTorch
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
📊 A simple command-line utility for querying and monitoring GPU status
Differentiable architecture search for convolutional and recurrent networks
Tensorforce: a TensorFlow library for applied reinforcement learning
Sequence to Sequence Learning with Keras
A transparent bridge between Git and Dropbox - use a Dropbox (shared) folder as a Git remote! 🎁
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.