Alternatives and similar repositories for dlip-pytorch-DL-good-practises

Users that are interested in dlip-pytorch-DL-good-practises are comparing it to the libraries listed below

• erachelson / RLclass_MVA
  ☆55Updated 4 months ago
• rbawden / MVA_2024_SL
  MVA Course "Algorithms for speech and language processing", 2024, Clavel, Wisniewski, Sagot, Bawden & Seddah
  ☆13Updated 4 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• balthazarneveu / mva_pepites
  Access to free kaggle compute power from your command line
  ☆29Updated last year
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated last week
• j3soon / tbparse
  Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
  ☆198Updated 9 months ago
• eemlcommunity / PracticalSessions2023
  ☆65Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆180Updated 2 years ago
• 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…
  ☆52Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• TyXe-BDL / TyXe
  ☆153Updated 2 years ago
• datasig-ac-uk / RoughPy
  Toolbox for working with streaming data as rough paths in Python
  ☆36Updated last week
• CarlaSa / diffusion_journal_club_24
  Repository of the journal club "Diffusion Models and Generative Modeling"
  ☆17Updated 6 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated last week
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆505Updated last month
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆389Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆77Updated 2 weeks ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆160Updated 11 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆155Updated 10 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆122Updated 2 months ago
• lindermanlab / S5
  ☆290Updated 4 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 8 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆357Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆600Updated 2 weeks ago
• anh-tong / signax
  Signax: Signature computation in JAX
  ☆29Updated 4 months ago
• nikhilvyas / SOAP
  ☆185Updated 6 months ago
• ThomasVrancken / info9023-mlops
  Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".
  ☆139Updated last week
• facebookresearch / exca
  Exca - Execution and caching tool for python
  ☆85Updated this week
• danielward27 / flowjax
  ☆161Updated last month
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆240Updated 2 weeks ago