A feature-rich command-line audio/video downloader

The first real AI developer

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

aider is AI pair programming in your terminal

Graph Neural Network Library for PyTorch

A modular graph-based Retrieval-Augmented Generation (RAG) system

DSPy: The framework for programming—not prompting—language models

Convert PDF to markdown + JSON quickly with high accuracy

A hyperparameter optimization framework

Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…

A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes

Composable building blocks to build Llama Apps

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Parse files for optimal RAG

Hyper-parameter optimization for sklearn

GPT based autonomous agent designed to create personalized newspapers tailored to user preferences.

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures

Optimizing Chemical Reactions with Deep Reinforcement Learning

Phoenics: Bayesian optimization for efficient experiment planning

🧪 A comprehensive chemistry library for Python.

Contrastive pretraining to learn chemical reaction representations (RxnRep) for downstream tasks.

This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier, Luigi Nardi, and Matthias Poloczek)

Deep Bayesian Optimization for Problems with High-Dimensional Structure