616 Open source projects that are alternatives of or similar to Srrescgan

OneFlow is a performance-centered and open-source deep learning framework.

Machine Learning Environment - alpha version

Implementation of character based convolutional neural network

Scale-wise Convolution for Image Restoration

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Season 2 of @twosigma's artificial intelligence programming challenge

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

A Thai word tokenization library using Deep Neural Network

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Official repository of JSI-GAN (Accepted at AAAI 2020).

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Train and visualize Hierarchical Attention Networks

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

HDLTex: Hierarchical Deep Learning for Text Classification

ByteNet for character-level language modelling

This is a list of awesome articles about object detection from video.

Pruning and other network surgery for trained TF.Keras models.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Various ML/DL Resources organised at a single place.

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Latex code for making neural networks diagrams

AI 尬舞机

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

How to use TensorFlow

TOFlow: Video Enhancement with Task-Oriented Flow

This is Andrew NG Coursera Handwritten Notes.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

List of articles related to deep learning applied to music

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

All image quality metrics you need in one package.

Speaker independent emotion recognition

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

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.

A curated list of awesome deep vision web demo

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

GPU accelerated Deep Belief Network

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Synthesizing and manipulating 2048x1024 images with conditional GANs

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Papers for deep neural network compression and acceleration

Detect the programming language of a source code

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

A Natural Language Toolkit for Indian Languages

Data-centric declarative deep learning framework

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

A simple library for creating complex neural networks

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow