Transpiler of Python to many other languages

🙌 OpenHands: Code Less, Make More

Large Concept Models: Language modeling in a sentence representation space

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

Pythonic class-based interface to LLMs

Fast hyperparameter settings for non-smooth estimators:

Python Library for Generalized Gaussian Process Modeling

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022

RoBO: a Robust Bayesian Optimization framework

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Gaussian processes in JAX.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Scientific Machine Learning class at CU Boulder, Fall 2024

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

Python-based Derivative-Free Optimization with Bound Constraints

Python-based Derivative-Free Optimizer for Least-Squares

Python solver for large-scale nonlinear least-squares minimization without derivatives

Implementation of direct search for derivative-free optimization

Gaussian processes framework in python

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Representation Engineering: A Top-Down Approach to AI Transparency

MTEB: Massive Text Embedding Benchmark

the AI-native open-source embedding database

Code repository for the paper - "Matryoshka Representation Learning"

Mamba SSM architecture

Benchmarks of approximate nearest neighbor libraries in Python

Bayesian modelling of bipartite networks