text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
Stars: ✭ 25 (-56.9%)
vqgan-clip-appLocal image generation using VQGAN-CLIP or CLIP guided diffusion
Stars: ✭ 94 (+62.07%)
KoDALLE🇰🇷 Text to Image in Korean
Stars: ✭ 55 (-5.17%)
Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Stars: ✭ 587 (+912.07%)
Dalle PytorchImplementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Stars: ✭ 3,661 (+6212.07%)
CogViewText-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Stars: ✭ 708 (+1120.69%)
awesome-generative-deep-artA curated list of generative deep learning tools, works, models, etc. for artistic uses
Stars: ✭ 172 (+196.55%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (+1.72%)
feed forward vqgan clipFeed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
Stars: ✭ 135 (+132.76%)
CLIP-Guided-DiffusionJust playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
Stars: ✭ 328 (+465.52%)
keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
Stars: ✭ 60 (+3.45%)
VQGAN-CLIPJust playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Stars: ✭ 2,369 (+3984.48%)
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-56.9%)
nft-generator-pyUnique image & metadata generation using weighted layer collections.
Stars: ✭ 127 (+118.97%)
transganformerImplementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper
Stars: ✭ 137 (+136.21%)
gan-weightnorm-resnetGenerative Adversarial Network with Weight Normalization + ResNet
Stars: ✭ 19 (-67.24%)
frameVFramed Visuals: collaborative generative art.
Stars: ✭ 20 (-65.52%)
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-13.79%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-58.62%)
tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Stars: ✭ 37 (-36.21%)
hgailgail, infogail, hierarchical gail implementations
Stars: ✭ 25 (-56.9%)
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-75.86%)
keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-65.52%)
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (-8.62%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (+51.72%)
bangla-bertBangla-Bert is a pretrained bert model for Bengali language
Stars: ✭ 41 (-29.31%)
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Stars: ✭ 24 (-58.62%)
simple transformersSimple transformer implementations that I can understand
Stars: ✭ 18 (-68.97%)
EmotionalConversionStarGANThis repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
Stars: ✭ 92 (+58.62%)
CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
Stars: ✭ 23 (-60.34%)
glitch-image🖼 Generate and save unique glitchy images
Stars: ✭ 46 (-20.69%)
projectsthings I help(ed) to build
Stars: ✭ 47 (-18.97%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-48.28%)
linesA plotter-friendly 3D engine
Stars: ✭ 40 (-31.03%)
lagvaeLagrangian VAE
Stars: ✭ 27 (-53.45%)
clip-guided-diffusionA CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
Stars: ✭ 260 (+348.28%)
desertA fast (?) random sampling drawing library
Stars: ✭ 61 (+5.17%)
BangalASRTransformer based Bangla Speech Recognition
Stars: ✭ 20 (-65.52%)
knowledge-neuronsA library for finding knowledge neurons in pretrained transformer models.
Stars: ✭ 72 (+24.14%)
seqgan-musicImplementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
Stars: ✭ 21 (-63.79%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-65.52%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-68.97%)
TermiNetwork🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.
Stars: ✭ 80 (+37.93%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-63.79%)
HVT[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"
Stars: ✭ 26 (-55.17%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-58.62%)
canon-generatorCanon-generator: algorithmic composition using music21 and python
Stars: ✭ 19 (-67.24%)
TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (-51.72%)
OpenDialogAn Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统,一键部署微信闲聊机器人)
Stars: ✭ 94 (+62.07%)
YunoYuno is context based search engine for anime.
Stars: ✭ 320 (+451.72%)
subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
Stars: ✭ 12 (-79.31%)