174 Open source projects that are alternatives of or similar to few-shot-gan-adaptation

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Official repository of https://arxiv.org/abs/2111.04040v1

How to create Selfie2Anime from tflite model to Android.

my own deep learning mastery roadmap

Using cGANs to remove objects from a photo

A curated list of papers, code and resources pertaining to few-shot image generation.

OpenMMLab FewShot Learning Toolbox and Benchmark

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Facial Sketch Render, ICASSP 2021

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

line drawing colorization using TensorFlow

Progressively growing of GANs Pytorch Implementation

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Matching Networks for one-shot learning in tensorflow (NIPS'16)

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

FSL-Mate: A collection of resources for few-shot learning (FSL).

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

🤖A list of resources to help anyone getting started with GANs 🤖

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

PyTorch Implementation of "Facial Image-to-Video Translation by a Hidden Affine Transformation" in MM'19.

A novel method for few shot learning

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

Hands-On Deep Learning Algorithms with Python, By Packt

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

No description or website provided.

Generate Cartoon Images using Generative Adversarial Network

Zero Shot Learning with Feature Generating Networks

An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Finetuning any DNN for better embedding on neural search tasks

[CVPR 2022] Improving GAN Equilibrium by Raising Spatial Awareness

FewCLUE 小样本学习测评基准，中文版

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

Learning low-shot object classification with explicit shape bias learned from point clouds

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

a deep recurrent model for exchangeable data

Generative deep learning: DeepDream

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

PyTorch Implementation of FusionGAN paper: Generating a Fusion Image: One's Identity and Another's Shape (https://arxiv.org/abs/1804.07455)

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Awesome Domain Adaptation Python Toolbox

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.