Lists (3)
Stars
All Algorithms implemented in Python
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Official inference framework for 1-bit LLMs
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Official PyTorch implementation of StyleGAN3
Code and hyperparameters for the paper "Generative Adversarial Networks"
High-Performance Symbolic Regression in Python and Julia
One of a few malware collections on the GitHub.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
Code Repository for Liquid Time-Constant Networks (LTCs)
A Data Streaming Library for Efficient Neural Network Training
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Three Ways of Generating Terrain with Erosion Features
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch