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A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
AI agents running research on single-GPU nanochat training automatically
A collection of AI Agents papers (Updated biweekly)
slime is an LLM post-training framework for RL Scaling.
An open-source AI agent that brings the power of Gemini directly into your terminal.
A reimplementation of Stable Diffusion 3.5 in pure PyTorch
A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other
Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
A full attention mechanism and transformer in pure go.
A WebAssembly runtime implemented in TypeScript types
Sky-T1: Train your own O1 preview model within $450
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
VSCode extension that demonstrates the use of large language models (LLMs) for active debugging of programs
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
CPU inference for the DeepSeek family of large language models in C++
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
Fully open reproduction of DeepSeek-R1
Time-Appliance-Project Timecard using Mosaic-T
Awesome LLM papers, news and projects about learning to reason with LLM, OpenAI o1, reasonning techniques, chain-of-thought (COT), Large Language Model, Straberry
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
learning biology syllabus, geared for machine learning folks
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more