805 Open source projects that are alternatives of or similar to Glcic Pytorch

Keras implementations of Generative Adversarial Networks.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

pytorch 包教不包会

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Tools and libraries to run neural networks in Minecraft ⛏

JeVois smart machine vision framework

An example of the paper "reconstructing faces from voices"

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Unity Machine Learning Agents Toolkit

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Various CNN models for CIFAR10 with Chainer

A collection of deep learning models implemented in PyTorch

it's a small library for running trained Keras 2 models from a native C++ code.

Human Video Generation Paper List

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Awesome GAN for Medical Imaging

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

FastText for Node.js

implement infoGAN using pytorch

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Python Adaptive Signal Processing

Deep Learning for Astronomers with Tensorflow

Machine reading comprehension on clinical case reports

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Implementation of simple autoencoders networks with Keras

Computational Cognitive Neuroscience, Fourth Edition

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

A tool for retrosynthetic planning

Machine Learning for High Energy Physics.

A collection of Natural language processing pre-trained models.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

cGAN-based Multi Organ Nuclei Segmentation

A tiny neural network 🧠