Stars
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
A game theoretic approach to explain the output of any machine learning model.
torch-inspect -- collection of utility functions to inspect low level information of neural network for PyTorch
torch-optimizer -- collection of optimizers for Pytorch
This project attempts to maintain the SOTA performance in machine translation
A tool for holistic analysis of language generations systems
🤗 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.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and you…
BabyAI platform. A testbed for training agents to understand and execute language commands.
A list of deep learning implementations in biology
An open source framework for seq2seq models in PyTorch.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Efficient, reusable RNNs and LSTMs for torch
A curated list of awesome Deep Learning tutorials, projects and communities.
Open Source Neural Machine Translation in Torch (deprecated)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Open-Source Neural Machine Translation in Tensorflow
A python script for summarizing articles using nltk