929 Open source projects that are alternatives of or similar to Awesome Gans And Deepfakes

Deep Learning Toolkit for Medical Image Analysis

TensorFlow implementation of "SoundNet".

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Appearance-and-Relation Networks

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Official implementation of FQ-GAN

Flops counter for convolutional networks in pytorch framework

免费分享区块链白皮书，涉及各门各派。内容均来自互联网，如果侵权，请联系删除。 区块链白皮书 weixin：mipengchong

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Hiding Images within other images using Deep Learning

Some of the ML and DL related reading materials, research papers that I've read

Implement of Openpose use Tensorflow

Minecraft psychic plugin for Paper

Attention-guided CNN for image denoising(Neural Networks,2020)

A curated list of resources for Learning with Noisy Labels

Code for the paper "Improved Techniques for Training GANs"

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Deep neural network based model for sequence to sequence classification

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

Deep Neural Network Sandbox for JavaScript.

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Caffe2 is a lightweight, modular, and scalable deep learning framework.

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Latex code for making neural networks diagrams

repo that holds code for improving on dropout using Stochastic Delta Rule

🙄 Difficult algorithm, Simple code.

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

A simple interface for editing natural photos with generative neural networks.

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

📢 Ready to learn or review your knowledge!

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Snipit allows you to capture and save interesting sections from any source of information. Be it textbooks, journals, computer screens, photographs, flyers, writings on a whiteboard, etc.

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Speaker independent emotion recognition

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

To classify video into various classes using keras library with tensorflow as back-end.

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

A PyTorch implementation of OpenAI's REPTILE algorithm

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

SWA Object Detection

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

A collection of materials to help you learn about deep learning

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Spiritual inheritance of mcpc+/thermos/Cauldron, full support spigot/sponge/forge/bukkit/paper API

Minimalist implementation of VQ-VAE in Pytorch

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

CRF-RNN PyTorch version http://crfasrnn.torr.vision

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)