Stars
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, started by Microsoft
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
C# application with primary purpose of farming Steam cards from multiple accounts simultaneously.
SteamKit2 is a .NET library designed to interoperate with Valve's Steam network. It aims to provide a simple, yet extensible, interface to perform various actions on the network.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
CSC Summer School in High-Performance Computing
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
New generation entropy codecs : Finite State Entropy and Huff0
A list of Free Software network services and web applications which can be hosted on your own servers
Template repository for data science lifecycle project
🛠 Python project template generator with batteries included
Flexible Python configuration system. The last one you will ever need.
Fast Wordpress installation with OpenLiteSpeed, external MySQL database on Ubuntu 20.04 server.
Optax is a gradient processing and optimization library for JAX.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A toolkit for developing and comparing reinforcement learning algorithms.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Simplified version of "Single-particle processing in RELION-3.0" tutorial.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.
Python implementation of the wavelet analysis found in Torrence and Compo (1998)
Applied Machine Learning Explainability Techniques, published by Packt
This is the repository for the corresponding 2022 MICCAI-MILLanD workshop paper "BoxShrink: From Bounding Boxes to Segmentation Masks"