AI agents running research on single-GPU nanochat training automatically

Become a cracked AI/ML Research Engineer

A PyTorch implementation of the GPT-OSS-20B architecture. All components are coded from scratch: RoPE with YaRN, RMSNorm, SwiGLU with clamping and residual connection, Mixture-of-Experts (MoE), Sel…

Google Research

SETOL: SemiEmpirical Theory of (Deep) Learning

[CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

LIMO: Less is More for Reasoning

A curated list of retrieval-augmented generation (RAG) in large language models

Spatial-Linked Alignment Tool

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

TACCO: Transfer of Annotations to Cells and their COmbinations

Test genes for Spatial Variation

High-Resolution Image Synthesis with Latent Diffusion Models

HUMAnN 3.0 is the next generation of HUMAnN 1.0 (HMP Unified Metabolic Analysis Network).

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Source code for Twitter's Recommendation Algorithm

Source code for Twitter's Recommendation Algorithm

Circular visualization in Python (Circos Plot, Chord Diagram)

Diffusion model papers, survey, and taxonomy

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Generative Gaussian Splatting for Efficient 3D Content Creation

Reference mapping for single-cell genomics