vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
π€ LeRobot: Making AI for Robotics more accessible with end-to-end learning
A practical hardware and software setup for a compact RL-powered biped robot.
π¦ Jumper β an crab robot.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3Γ lower latency than vLLM in FP8 and bit-identical answers.
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
ζζ΅·θ±Ή β Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. ε°ζ΅·θ±ΉοΌε€§ε³ζγ
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
We write your reusable computer vision tools. π
Whole-body motion tracking for the Unitree G1 in about 7 minutes on one GPU, 4.7x faster than SuperMimic + EMA (SuperMimic-style world model + Muon + InstantMimic-style GPU loop, mjlab)
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
SABER enables identity-resolved quantification of multi-animal social behavior
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