CLAIRE-Labo / python-ml-research-template

Related projects: ⓘ

• lucmos / relreps
  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…
  ☆45Updated last year
• GFNOrg / torchgfn
  GFlowNet library
  ☆213Updated 3 weeks ago
• klieret / wandb-offline-sync-hook
  A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
  ☆49Updated last week
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆161Updated 3 weeks ago
• elyall / wandb_on_slurm
  Example of how to use Weights & Biases on Slurm
  ☆108Updated 2 years ago
• recursionpharma / gflownet
  GFlowNet library specialized for graph & molecular data
  ☆195Updated 2 weeks ago
• ebezzam / python-dev-tips
  Minimal package to demonstrate good Python development habits
  ☆85Updated last month
• TorchJD / torchjd
  Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
  ☆126Updated this week
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆45Updated 10 months ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆15Updated 3 weeks ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆51Updated 2 weeks ago
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆118Updated 9 months ago
• bmucsanyi / bud
  ☆15Updated 2 weeks ago
• Algomancer / Bayesian-Flow-Networks
  A simple implimentation of Bayesian Flow Networks (BFN)
  ☆236Updated 8 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆77Updated 10 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆105Updated 4 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆116Updated 2 years ago
• ModelZoos / ModelZooDataset
  Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…
  ☆51Updated last year
• wiseodd / lapeft-bayesopt
  Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
  ☆14Updated last month
• Flegyas / latentis
  A Python package for analyzing and transforming neural latent spaces.
  ☆38Updated last week
• rbalestr-lab / SSL-course
  Course to learn the basics of self supervised learning
  ☆14Updated last week
• balthazarneveu / mva_pepites
  Access to free kaggle compute power from your command line
  ☆23Updated 8 months ago
• BlackHC / neural_net_checklist
  ☆137Updated last month
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆173Updated 9 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆73Updated last year
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆35Updated 2 years ago
• epfml / llm-baselines
  ☆68Updated last month
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆64Updated 4 months ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆347Updated 8 months ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆81Updated last year