Explore Projects
Discover 40 open source projects
Showing 1-20 of 40 projects
yzhao062/pyod
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
MorvanZhou/PyTorch-Tutorial
A comprehensive PyTorch tutorial for building neural networks and AI models with ease
facebookresearch/mae
PyTorch implementation of the Masked Autoencoder (MAE) model for self-supervised learning from Facebook Research.
jaywalnut310/vits
A PyTorch-based text-to-speech model that generates high-quality speech with expressive prosody.
AntixK/PyTorch-VAE
A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.
BinRoot/TensorFlow-Book
This GitHub repository contains code samples and examples for the Machine Learning with TensorFlow book, covering a wide range of machine learning topics.
MorvanZhou/Tensorflow-Tutorial
A comprehensive TensorFlow tutorial covering a wide range of machine learning topics for AI-focused developers.
hwalsuklee/tensorflow-generative-model-collections
Collection of popular generative models in TensorFlow for developers interested in AI tools
rasmusbergpalm/DeepLearnToolbox
A Matlab/Octave toolbox for building deep learning models, including neural nets, autoencoders, and CNNs.
shaoanlu/faceswap-GAN
A denoising autoencoder with adversarial losses and attention mechanisms for face swapping.
mit-han-lab/efficientvit
Efficient vision foundation models for high-resolution generation and perception.
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
curiousily/Getting-Things-Done-with-Pytorch
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
OpenGVLab/InternVideo
A video foundation model and dataset for multimodal understanding and video understanding tasks.
golbin/TensorFlow-Tutorials
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
clementchadebec/benchmark_VAE
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras book for learning deep learning concepts using the Keras framework
krasserm/bayesian-machine-learning
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
VivekPa/AIAlpha
Predictive stock trading using unsupervised and supervised learning techniques in Python.
GMvandeVen/continual-learning
A PyTorch implementation of various continual learning methods for AI/ML developers.
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