Must-read Papers on LLM Agents.

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

A tool for proving and organizing general theorems using Python.

Python Overleaf API and simple CLI

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

Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

Language Modeling with the H3 State Space Model

PyTorch implementation of "Effective dimension of machine learning models" paper

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

High-quality datasets, tools, and concepts for LLM fine-tuning.

Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone

Experiments with fuzzy layers and neural nerworks

A curated list of static web site generators.

Implementation for MatMul-free LM.

Official repository of the xLSTM.

markdown-pages.js - simple Markdown-based static sites, without the generator

The most advanced frontend drag & drop page builder. Create high-end, pixel perfect websites at record speeds. Any theme, any page, any design.

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"

A latex document style website

Variations of Kolmogorov-Arnold Networks

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

A Scheme kernel for Jupyter that can use Python libraries

CoreNet: A library for training deep neural networks

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

LLM inference in C/C++

LLM training in simple, raw C/CUDA

A picture a day keeps amateur away