Alternatives and similar repositories for deep-machine-learning

Users that are interested in deep-machine-learning are comparing it to the libraries listed below

• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,264Updated 2 months ago
• rll / deepul
  ☆824Updated 6 months ago
• cloneofsimo / minDiffusion
  Self-contained, minimalistic implementation of diffusion models with Pytorch.
  ☆1,113Updated 3 years ago
• facebookresearch / flow_matching
  A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…
  ☆3,655Updated last month
• atong01 / conditional-flow-matching
  TorchCFM: a Conditional Flow Matching library
  ☆2,086Updated 2 months ago
• johnmarktaylor91 / torchlens
  Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
  ☆624Updated last month
• mert-kurttutan / torchview
  torchview: visualize pytorch models
  ☆1,000Updated 5 months ago
• kennethleungty / Neural-Network-Architecture-Diagrams
  Diagrams for visualizing neural network architecture
  ☆984Updated 6 months ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆762Updated last year
• tanelp / tiny-diffusion
  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
  ☆951Updated last year
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆3,007Updated last week
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,355Updated 4 months ago
• yuanchenyang / smalldiffusion
  Simple and readable code for training and sampling from diffusion models
  ☆647Updated 4 months ago
• hubertrybka / vae-annealing
  A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based
  ☆20Updated 10 months ago
• deepgenerativemodels / notes
  Course notes
  ☆728Updated last year
• Shamdan17 / pytorch_optimization
  General training optimization for pytorch (multigpu usage, mixed precision training)
  ☆11Updated 2 years ago
• GeorgeBird1 / Diagramatic-Neural-Networks
  ☆39Updated last year
• dome272 / Diffusion-Models-pytorch
  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
  ☆1,383Updated 2 years ago
• ahmadchalhoub / research_implementations
  ☆20Updated 2 years ago
• MaximeVandegar / Papers-in-100-Lines-of-Code
  Implementation of papers in 100 lines of code.
  ☆1,655Updated this week
• hazratali / awesome-ai-summerschool
  A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
  ☆371Updated this week
• xl0 / lovely-tensors
  Tensors, for human consumption
  ☆1,320Updated 2 weeks ago
• helblazer811 / Diffusion-Explorer
  Interactive visualizations of the geometric intuition behind diffusion models.
  ☆837Updated 4 months ago
• facebookresearch / theseus
  A library for differentiable nonlinear optimization
  ☆1,963Updated 9 months ago
• balthazarneveu / mva_pepites
  Access to free kaggle compute power from your command line
  ☆32Updated last year
• hi-paris / Hickathon
  ☆48Updated this week
• uncbiag / Awesome-Foundation-Models
  A curated list of foundation models for vision and language tasks
  ☆1,112Updated 4 months ago
• rbawden / MVA_2024_SL
  MVA Course "Algorithms for speech and language processing", 2024, Clavel, Wisniewski, Sagot, Bawden & Seddah
  ☆15Updated 9 months ago
• amanchadha / stanford-cs231n-assignments-2020
  This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Sp…
  ☆176Updated 4 years ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆990Updated 2 months ago