Stars
For optimization algorithm research and development.
Tips for Writing a Research Paper using LaTeX
ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A modern look at the relationship between sharpness and generalization [ICML 2023]
JAX - A curated list of resources https://github.com/google/jax
Bayesian inference and posterior analysis for Python
Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
A PyTorch Implementation of Convolutional Conditional Neural Process.
PokeWilds - A Gen 2 Game/Engine using libGDX
Foundation Models for Genomics & Transcriptomics
The Cartoon Cartoon Summer Resort Shockwave game series ported to the modern web. (+Scooby Doo Hollywood Horror)
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
Code for my medium article
Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences
A playbook for systematically maximizing the performance of deep learning models.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows
Latex code for making neural networks diagrams