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🔋 Datasets with baselines for offline multi-agent reinforcement learning.
Scalable neural net training via automatic normalization in the modular norm.
Large language modeling applied to T-cell receptor (TCR) sequences.
Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model.
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
A Python framework for high performance GPU simulation and graphics
Scenic: A Jax Library for Computer Vision Research and Beyond
Image-to-Image Translation in PyTorch
Protein structure diffusion model for unconditional protein generation and motif scaffolding
Neighborhood Attention Extension. Bringing attention to a neighborhood near you!
Simple implementation of muP, based on Spectral Condition for Feature Learning
ClickHouse® is a real-time analytics DBMS
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry lead…
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
A minimal GPU design in Verilog to learn how GPUs work from the ground up