🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

starter from "How to Train a GAN?" at NIPS2016

Fast inference engine for Transformer models

Different optimizes in c++

Pytorch implementation of DCGAN, CDCGAN, LSGAN, WGAN and WGAN-GP for CelebA dataset.

PyTorch implementations of Generative Adversarial Networks.

Experimenting with different regression losses. Implemented in Pytorch.

Linux client for Yandex Music

A collection of Jupyter notebooks showing how to use the Qiskit SDK

All pdfs of Victor Eijkhout's Art of HPC books and courses

Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

hyphen - access Haskell modules from Python

Tensorforce: a TensorFlow library for applied reinforcement learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Repo for the Sente OnlineGo Android app.

DellaBaduck is a program that plays go/baduk.

GTP engine and self-play learning in Go

Models and examples built with TensorFlow

TensorFlow - A curated list of dedicated resources http://tensorflow.org