PyTorch从入门到精通

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

An annotated implementation of the Transformer paper.

Solve puzzles. Improve your pytorch.

Official ImageNet Model repository

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Minimal C++ implementation of GPT2

throwaway GPT inference

Inference Llama 2 in one file of pure C

Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++

PyTorch Tutorial for Deep Learning Researchers

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

A lightning fast Finite State machine and REgular expression manipulation library.

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

360° Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron (IROS2020)

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

Some visualizations of bandit algorithm outputs.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

A multi-voice TTS system trained with an emphasis on quality

Attention Is All You Need | a PyTorch Tutorial to Transformers

Neural Networks from scratch in Go.

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes