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.

Stochastic Simulation in Java

⚡ A Fast, Extensible Progress Bar for Python and CLI

Play with neural networks!

LM (CLM & MLM) Training with 🤗 Transformers

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.

tmux source code

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