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Solve puzzles. Improve your pytorch.
The official implementation of "DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation". (arXiv 2601.22153)
Robotic Mapping and Localization Course
Open source VLA Model powered by NVIDIA Foundation Models
Schedule-Free Optimization in PyTorch
Real-time stream editing pipeline powered by the FLUX.2-klein-4B model, optimized for consumer GPUs
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Source code for SWIFT, an efficient reward model.
A sequence-to-sequence voice conversion toolkit.
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
PyTorch implementation of consistency regularization methods for semi-supervised learning
Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
Lean formalizations for the paper "ABC implies that Ramanujan's Tau function misses almost all primes"
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A curated list of reinforcement learning with verifiable rewards (continually updated)
Deriving steepest descent convergence bounds and hyperparameter scaling laws in machine learning optimization from first principles, formalized in LEAN.
A Python package for barycentric rational and polynomial interpolation and approximation.
PyTorch implementation of AlphaZero Chess from scratch
Code Release for floq: Training Critics via Flow-Matching for Scaling Compute In Value-Based RL
MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
A platform for reproducible world model research and evaluation