990 Open source projects that are alternatives of or similar to Unet Stylegan2

Deep learning codes and projects using Python

A clean and readable Pytorch implementation of CycleGAN

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Composable GAN framework with api and user interface

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

C++ Implementation of PyTorch Tutorials for Everyone

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

The Automagic Project Planner

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

🧬 A JupyterLab extension for annotating data with Prodigy

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Top 200 deep learning Github repositories sorted by the number of stars.

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Data transformations for the ML era

研究资源列表 A curated list of research resources

People removal in images using Pix2Pix and YOLO.

Reconstruction of three-dimensional porous media using generative adversarial neural networks

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

pip install antialiased-cnns to improve stability and accuracy

Neural Network built in Apple Playground using Swift

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Spectral Normalization for Keras Dense and Convolution Layers

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A convolutional neural network from scratch

AI system to simulate combat behaviors in a FPS game using Behavior Trees (UE4)

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Reinforcement Learning Cheat Sheet

Link Discovery Framework for Metric Spaces.

Best Practices on Recommendation Systems

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

List of AI Residency Programs

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

A list of resources in different fields of Computer Science (multiple languages)

🤖 A hosting service for 'revscoring' models.

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Char-level RNN LSTM text generator📄.

Privacy-preserving generative deep neural networks support clinical data sharing

SpecGAN - generate audio with adversarial training

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

60_Days_RL_Challenge中文版

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

3D Liver Segmentation with GAN

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Rename images using deep learning