🤗 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.

Deep Learning for humans

Google Chromium, sans integration with Google

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Electrum Bitcoin Wallet

Tool for partial deblobbing of Intel ME/TXE firmware images

Noise supression using deep filtering

Implementation for MatMul-free LM.

Keras Attention Layer (Luong and Bahdanau scores).

Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C

Windows packaging for ungoogled-chromium

An implementation of CycleGan using TensorFlow

Upscale an image by a factor of 4, while generating photo-realistic details.

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

ViaStitching action-plugin for KiCAD