A multi-factor equity risk model for quantitative trading.

CLU lets you write beautiful training loops in JAX.

State of the art inference for your bayesian models.

📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623

A very simple news crawler with a funny name

Gaussian processes in JAX.

Fast package resolver written in Rust (CDCL based SAT solving)

Sampling profiler for Python programs

A list of alternatives for Adobe software

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

Yet Another Tiny DFT

A massively parallel, high-level programming language

A header-only C++ library for sketching in randomized linear algebra

Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

Parallelizing non-linear sequential models over the sequence length

Grok open release

⚓️ Sailor: Open Language Models for South-East Asia

Compile Time Regular Expression in C++

Code for the paper https://arxiv.org/abs/2402.04997

Molecular integrals over Gaussian basis functions using sympy.

Open weights LLM from Google DeepMind.

The boundary of neural network trainability is fractal

stdgpu: Efficient STL-like Data Structures on the GPU