Code I used for my YouTube videos

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

A high-throughput and memory-efficient inference and serving engine for LLMs

Large Language Model Text Generation Inference

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"

A framework for few-shot evaluation of language models.

Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development

The landscape of RNA 3D structure modeling with transformer networks

Figma to Penpot converter and synchronizer, to not maintain multiple platforms 🎨🖌️

Implementation of a Transformer model from scratch in PyTorch for language translation.

Port of OpenAI's Whisper model in C/C++

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

This repository contains the python package for Helical

A paper list of some recent Transformer-based CV works.

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

A low-latency & high-throughput serving engine for LLMs

a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model