Showing 81-100 of 162 projects
An automated insulin delivery app for iOS, built on the LoopKit framework for diabetes management.
Open-source code for the ProteinMPNN paper, a machine learning model for protein structure prediction.
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
Interpretable ML package for concise, transparent, and accurate predictive modeling.
A C++ library for real-time behavior synthesis using the MuJoCo physics simulation engine and model predictive control.
A crime assistant project that includes crime type prediction and legal consultation using NLP and a crime knowledge graph.
A Python library for probabilistic time series forecasting using large language models like LLaMA.
A TCP proxy for simulating variable yet predictable network latency for load testing and observability.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
Open-source, multithreaded, predictive Minecraft anticheat plugin with high performance and customizability.
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
A lightweight TypeScript library that predicts user intent based on mouse and keyboard interactions to enable smart prefetching.
A C++ library for factorization machines, a powerful model for predicting ratings or rankings.
A machine learning platform and recommendation engine built on Kubernetes for deployment on cloud platforms.
A PyTorch library that provides Vision Transformer (ViT) adapters for dense prediction tasks like object detection and semantic segmentation.
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
A Python library for interpretable and explainable machine learning model analysis and visualization.
A proof-of-concept for a transformer-based time series prediction model in Python.
An implementation of DiffDock, a diffusion-based molecular docking method for binding prediction.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
Get weekly updates on trending AI coding tools and projects.