1242 Open source projects that are alternatives of or similar to ADL2019

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

Image-to-Image Translation in PyTorch

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Invert the color of MNIST images with PyTorch

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

Image-to-image translation with conditional adversarial nets

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

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

A collection of arbitrary text to image papers with code (constantly updating)

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Focal Frequency Loss for Generative Models

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

A stable algorithm for GAN training

Collection of generative models in Pytorch version.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

No description or website provided.

Code for GAN2Shape (ICLR2021 oral)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

DCGAN image generator 🖼️.

Coherent Semantic Attention for image inpainting(ICCV 2019)

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

On the "steerability" of generative adversarial networks

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

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.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Everything about Generative Adversarial Networks

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Stochastic Adversarial Video Prediction

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace