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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

aixiv-old

aixiv2-new

Generated summarization and implementation of some papers, hosted at https://luvata.github.io/aixiv2-new/

arxive

Arxiv daily dump and viewer using github action, host at luvata.github.io/arxive

autograd_framework

An implementation of simple deep learning framework with autograd, from scratch (numpy)

awesome-stars

cc_net_vietnamese

Tools to download and cleanup Common Crawl data

clip-gen

CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

cresi

cs161-algorithms

My notes and solutions for CS161

cs224n-2019

My completed solutions for CS224N 2021 & 2019

cs224w

Solutions for CS224W 2021 - Machine learning with graphs

cs231n-2017-2018-solutions

cs231n-2018

Let's do it again

cs231n-spring-2019

My assignment solutions & notes for CS231N 2019

cs330-stanford-deep-multi-task-and-meta-learning

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

data_tooling

Tools for managing datasets for governance and training.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffae

Official implementation of Diffusion Autoencoders

dotfiles

My adventure with VIM and tile windows manager in general :D

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

essence

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

gifs

github-actions-for-ci

gmaps_geometry

Get geometry routing from google maps

guides

A collection of easy-to-understand guides to programming tools

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.