deep-learning

Text to image synthesis using thought vectors

Convert images of LaTex math equations into LaTex code.

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

JAX - A curated list of resources https://github.com/google/jax

nannyml: post-deployment data science in python

Repository containing notebooks of my posts on Medium

A platform for reproducible world model research and evaluation

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

A sketch extractor for anime/illustration.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Audio generation using diffusion models, in PyTorch.

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Benchmark datasets, data loaders, and evaluators for graph machine learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond