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Mila-Quebec AI Institute
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The simplest, fastest repository for training/finetuning medium-sized GPTs.
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
Compute CNN receptive field size in pytorch in one line
Computational Discovery on Jupyter Open Educational Resource by Neil J. Calkin, Eunice Y. S. Chan, and Robert M. Corless
Tensorized (and parallelizable) pytorch implementation of the algorithm for intrinsic dimension estimation : MLE and TWO-NN
Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''
Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".
Label line using matplotlib.
⚡ A Fast, Extensible Progress Bar for Python and CLI
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
Code for visualizing the loss landscape of neural nets
Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks
Visualizing the the loss landscape of Fully-Connected Neural Networks
Mirror of Cygwin repository at https://cygwin.com/. DO NOT SUBMIT PULL REQUESTS. Read https://cygwin.com/contrib.html and submit patches via the mailing list cygwin-patches AT cygwin DOT com.
Solve puzzles. Improve your pytorch.
Exploring Bayesian Optimization
DALL·E Mini - Generate images from a text prompt
CodiMD - Realtime collaborative markdown notes on all platforms.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Code for the intrinsic dimensionality estimate of data representations
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A Python package for intrinsic dimension estimation