A hierarchical inference engine for frontier MoE models: hot experts on the GPU (CUDA, Vulkan), warm ones in RAM, cold ones streamed from NVMe. Written in C, runs on the hardware you already own.
Personal AI, On Personal Devices
Idol: a single image to 3D Gaussians. Inference SDK and demo.
A Jupyter notebook collection of from-scratch ML algorithm implementations and interview prep for machine learning engineer roles.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Local inference engine for Qwen3.8-Flash-Next on NVIDIA Blackwell
An agent runtime and tool protocol for principled agent concurrency
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.
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
π§ Train a 64M-parameter LLM from scratch in just 2h!
Neural Networks: Zero to Hero
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Mastra is the modern TypeScript framework for AI-powered applications and agents.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
SGLang is a high-performance serving framework for large language models and multimodal models.
π¦ Jumper β an crab robot.
Mundo: Customized World Model
Native vLLM serving for Jev decision models
Hy-Nomas: Towards Free-form Interactive World Generation
Concept Brittleness
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Whole-body motion tracking for the Unitree G1 in about 3 minutes on one GPU: return 0.82 with 0/40 clips failed at the first checkpoint for all seeds, >=10.9x faster than SuperMimic + EMA; 3.2 min with fine checkpoints, 2.74 min without LR annealing (world model + Muon + overlapped CUDA streams, mjlab)
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
Code for Machine Learning for Trading, 3rd edition β from data sourcing to live execution.
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
We write your reusable computer vision tools. π
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
Build distributed, production-grade, long-running agents.
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".
RL training environments for Microduck (mjlab)
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Google Research
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
The Modular Platform (includes MAX & Mojo)
Running a big model on a small laptop
GRAVA: A Unified Grounded Reasoning-to-Action Framework for Autonomous Driving. Project overview.
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.
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
The fastai book, published as Jupyter Notebooks
Microsoft's foundation model that predicts biomolecular structures, samples equilibrium ensembles, and generates time-lagged trajectories.
A machine learning compiler for GPUs, CPUs, and ML accelerators
OpenVINOβ’ is an open source toolkit for optimizing and deploying AI inference
Experimental Windows/NVIDIA GPU long-context inference engine (C++) with KV-cache paging to host memory, a downstream fork of NInfer.
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.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Integrate cutting-edge LLM technology quickly and easily into your apps
Understanding Deep Learning - Simon J.D. Prince
An Application Framework for AI Engineering
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.
Source code for the X Recommendation Algorithm