🤗 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.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Deep Reinforcement Learning for Keras.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Compare GAN code.

A package for the sparse identification of nonlinear dynamical systems from data

Python Heart Rate Analysis Package, for both PPG and ECG signals

Speech Enhancement Generative Adversarial Network in TensorFlow

Inception Score for GANs in Pytorch

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

Implementation of C-RNN-GAN.

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Standalone TensorBoard for visualizing in deep learning

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

explore DNNs via Infomration

Implementation of several different types of autoencoders

long-term blood pressure prediction with deep recurrent neural networks

Tensorflow implementation of Meta-Learning with Temporal Convolutions

Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"

This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".

Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)

Inner- and Outer Recursive Neural Networks for Chemoinformatics

CS5660 Signal and Image Processing Fall 2013

Neural networks with only 1x1 convolutions. Period.