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[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
Meta-Framework of Spatiotemporal Composability
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
DeepSeek Harness: Everything is a Plugin.
Mixture-of-experts (MoE) training megakernel for NVL72s
NVIDIA Alpamayo 2 Super is an open 34B multi-task foundation model designed to supercharge autonomous vehicle development.
Developer Hub for NVIDIA Alpamayo, containing ready-to-use recipes for fine-tuning, reinforcement-learning post-training, quantization, and deployment.
MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts
Production-ready MoE load balancing via real-time expert replication
Never stop coding. Free MIT AI gateway: one endpoint, 339 providers (90+ free), 1200+ models — Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cl…
Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
An intrinsic stabilization mechanism that addresses gradient spikes and explosions by structurally decoupling the update direction from its magnitude
Communication patterns for AI, built on top of NCCL device and host APIs
NVIDIA CoC Autolabeler is an open autolabeling pipeline for autonomous vehicles that generates Chain-of-Causation reasoning labels and meta-actions from raw driving clips.
Beautiful, AI-native markdown IDE and LLM wiki
A tutorial on modern GPU programming for machine learning systems
High-performance RL post-training infrastructure. Designed to achieve bitwise operator-level train-inference consistency across heterogeneous engines and extreme memory efficiency for GRPO, PPO, etc.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A programmable distributed training system for PyTorch
Research artifacts from Recursive's automated AI research system
A profiling and performance analysis tool for machine learning
An LLM post-training framework with vLLM for RL Scaling