Pinned Repositories
alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Hash-Embeddings
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Invariant-Self-Supervised-Learning
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
lossyless
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Mini_Decodable_Information_Bottleneck
Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Semi-Supervised-Neural-Processes
SSL-Risk-Decomposition
Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
YannDubs's Repositories
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
YannDubs/Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
YannDubs/lossyless
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
YannDubs/Invariant-Self-Supervised-Learning
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
YannDubs/SSL-Risk-Decomposition
Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
YannDubs/Mini_Decodable_Information_Bottleneck
Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
YannDubs/Semi-Supervised-Neural-Processes
YannDubs/YannDubs.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
YannDubs/npf
Experiments for comparing and understanding different neural processes architectures.
YannDubs/hydra
Hydra is a framework for elegantly configuring complex applications
YannDubs/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
YannDubs/sigterm-bug
YannDubs/skorch
A scikit-learn compatible neural network library that wraps PyTorch
YannDubs/TicTacToePyTorch
Tic tac toe dataset and PyTorch baseline.
YannDubs/vision
Datasets, Transforms and Models specific to Computer Vision
YannDubs/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
YannDubs/awesome-demos
links and status of cool gradio demos
YannDubs/DebugJupyterBook
Playing Around with JupyterBook
YannDubs/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
YannDubs/hub
Submission to https://pytorch.org/hub/
YannDubs/jupyter-book
Build interactive, publication-quality documents from Jupyter Notebooks
YannDubs/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
YannDubs/ManimML
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
YannDubs/msn
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
YannDubs/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
YannDubs/RubricEval
YannDubs/spring2024-assignment1-basics-leaderboard
YannDubs/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
YannDubs/VICRegL
VICRegL official code base
YannDubs/website_old
Yet another blog with focus on machine learning. Home of an intuitive machine learning glossary / cheat sheet.