Arnou1

Arnou1's Stars

• karan/Projects

  :page_with_curl: A list of practical projects that anyone can solve in any programming language.

  45.6k1.8k7310.6k

• neonbjb/tortoise-tts

  A multi-voice TTS system trained with an emphasis on quality

  Language:Jupyter Notebook13.4k1745221.9k

• PyO3/pyo3

  Rust bindings for the Python interpreter

  Language:Rust12.7k1041.4k783

• sunface/rust-by-practice

  Learning Rust By Practice, narrowing the gap between beginner and skilled-dev through challenging examples, exercises and projects.

  Language:Rust12.5k711871k

• OpenTalker/SadTalker

  [CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

  Language:Python12.2k1528232.3k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.6k372981.1k

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.9k752211.2k

• tensorflow/rust

  Rust language bindings for TensorFlow

  Language:Rust5.2k121190423

• NVlabs/stylegan2-ada-pytorch

  StyleGAN2-ADA - Official PyTorch implementation

  Language:Python4.2k502671.2k

• serp-ai/bark-with-voice-clone

  🔊 Text-prompted Generative Audio Model - With the ability to clone voices

  Language:Jupyter Notebook3.2k4981430

• C0untFloyd/roop-unleashed

  Evolved Fork of roop with Web Server and lots of additions

  Language:Python2.4k51635569

• TsingZ0/PFLlib

  37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/

  Language:Python1.6k12204320

• epfml/OptML_course

  EPFL Course - Optimization for Machine Learning - CS-439

  Language:Jupyter Notebook1.2k7612320

• 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 of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook67790100

• sbarratt/inception-score-pytorch

  Inception Score for GANs in Pytorch

  Language:Python6431117125

• DataForScience/Causality

  Language:Jupyter Notebook464320100

• openai/vdvae

  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

  Language:Python4351261988

• petercorke/RVC3-python

  Code examples for Robotics, Vision & Control 3rd edition in Python

  Language:Jupyter Notebook37291788

• niuers/Linear-Algebra-and-Learning-from-Data

  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT

  Language:Jupyter Notebook2417677

• addtt/ladder-vae-pytorch

  Ladder Variational Autoencoders (LVAE) in PyTorch

  Language:Python904010

• vlievin/biva-pytorch

  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

  Language:Python825411

• ioangatop/srVAE

  VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

  Language:Python785914

• ananyahjha93/multi-level-vae

  This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

  Language:Python703213

• ki-ljl/Scaffold-Federated-Learning

  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

  Language:Python66118

• IBM/constrained-FSCIL

  PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"

  Language:Python493317

• zhuxinqimac/CommutativeLieGroupVAE-Pytorch

  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.

  Language:Python23201

• JiahongChen/ResNet-decoder

  Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)

  Language:Python16133

• Rand2AI/Awesome-Vulnerability-of-Federated-Learning

  A Survey on Vulnerability of Federated Learning: An Algorithm Perspective

  15202

• williamcfrancis/Variational-Autoencoder-for-MNIST

  Pytorch implementation of a Variational Autoencoder (VAE) that learns from the MNIST dataset and generates images of altered handwritten digits.

  Language:Jupyter Notebook13200

• cumbof/hdlib

  Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3

  Language:Python12472