latex code from my first year of engineering.

Tips for Writing a Research Paper using LaTeX

Official inference framework for 1-bit LLMs

A flexible distributed key-value datastore that is optimized for caching and other realtime workloads.

This repo is for my lecture notes in Latex

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

CLIP-like model evaluation

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

An open source implementation of CLIP.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

LLM Quantization toolkit

Collections of awesome neovim plugins.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Generates LaTeX document

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

3d extension to ggplot

[EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".

R's data.table package extends data.frame:

Open-source scientific and technical publishing system built on Pandoc.

re-typeset of this book

Additional exercises and data for EE364a. No solutions; for public consumption.

SGLang is a fast serving framework for large language models and vision language models.

百鸟朝凤 · 肖江虹（精排版）

Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)

cuDF - GPU DataFrame Library

Implementation for MatMul-free LM.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.