Kronos: A Foundation Model for the Language of Financial Markets
Pika H3 Flex: video and audio generation inference
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
NCM: Next Concept Modeling
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
EdgeRock: Strong Reasoning at Constant Memory. Multimodal models with O(N) generation and O(1) persistent history. Inference and evaluation code.
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
Concept Brittleness
Official code for "Zero-Mem: Zero-Token Memory Operations for LLM Agents".
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
[SIGGRAPH Asia 2026] UniMate: One Unified Model to Animate Diverse Skeletons
Implement a reasoning LLM in PyTorch from scratch, step by step
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.
Official Project Page for Recurrent Looped Transformer (RLT) (https://arxiv.org/abs/2610.07591)
All course materials for the Zero to Mastery Machine Learning and Data Science course.
🦀 Jumper — an crab robot.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Official code for Xiaomi-SpatialEmbodied, a Qwen3-VL-based VLM with 3D geometric and embodied adapters for driving and robotics VQA.
A practical hardware and software setup for a compact RL-powered biped robot.
Repository for Timestral, the time-series foundation model by Mistral AI
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
🐧 Unified and Stable RSI Platform
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
🤗 smolagents: a barebones library for agents that think in code.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
An autonomous agent that profiles, optimizes, and validates AI training code.
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Optimize prompts, code, and more with AI-powered Reflective Optimization
We write your reusable computer vision tools. 💜
64-bit RISC-V (RV64GC) core that boots Linux on an Arty A7 FPGA. Designed entirely by Claude Code: the specifications, RTL, verification and documents were all written by the AI.
Google Research
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
ASPIRE: Agentic /Skills Discovery for Robotics
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
FlashMLA: Efficient Multi-head Latent Attention Kernels
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A latent text-to-image diffusion model
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
Source code for the X Recommendation Algorithm