An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An Open-Source Toolkit for Prompt-Learning.

Beyond the Imitation Game collaborative benchmark for enormous language models

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

The most widely used Python to C compiler

Scikit-learn style model finetuning for NLP

The Natural Language Decathlon: A Multitask Challenge for NLP

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A PyTorch implementation of DenseNet.

Learning to Learn in TensorFlow

Caffe: a fast open framework for deep learning.

Deep Residual Learning for Image Recognition

An opinionated tutorial on Sphinx.

Lasagne recipes: examples, IPython notebooks, ...

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Lightweight library to build and train neural networks in Theano

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

Automatically exported from code.google.com/p/otkpp