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Implementation of the BYOL paper.
Code for the TDS article "Predicting Rain from Satellite Images"
Implementation of the CO2 paper.
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Stockfish, but for Bao la Kiswahili.
YAML files for use with The Kubernetes Book
Repositories
19Implementation of the BYOL paper.
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Stockfish, but for Bao la Kiswahili.
YAML files for use with The Kubernetes Book
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for the TDS article "Predicting Rain from Satellite Images"
PyTorch implementation of ENet
Supplementary code for the paper "Hyperbolic Image Embeddings".
Tensors and Dynamic neural networks in Python with strong GPU acceleration
How to pick the optimal Fantasy Premier League team?
Chat application using Flutter and Firebase for backend.
COCO Stuff API
Decompilation of Pokémon Ruby/Sapphire
Datasets, Transforms and Models specific to Computer Vision
Implementation of the CO2 paper.
For experiments w.r.t. how we can fix our branch issues.
A light-weight collection of simple recommender systems.
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