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SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
A suite of test scenarios for multi-agent reinforcement learning.
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Crawl & visualize ICLR papers and reviews
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
Asynchronous Distributed Hyperparameter Optimization.
Quantum module of AIMS AI for Science M.Sc.
📲 WebApp for subtitle/closed caption extraction through CCExtractor. Developed under GSoC 2018 with CCExtractor.
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data
mila-iqia / orion
Forked from Epistimio/orionAsynchronous Distributed Hyperparameter Optimization.
Generating and Evaluating Post-Hoc Explanation from Deep Neural Networks for Multi-Modal Medical Image Analysis Tasks
Code and data to support our paper
Official code release for ConceptGraphs
Give me your task query, I will give you an interactive interface app!
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ewerx / x-redirect
Forked from alanzchen/x-redirectA http(s) interface to custom url scheme.
Python bindings to the Tree-sitter parsing library
Collection of Summer 2025 tech internships!