6576 Open source projects that are alternatives of or similar to Neural Painters X

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Deploy and scale serverless machine learning app - in 4 steps.

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Synthetic Data Generation for tabular, relational and time series data.

Train a state-of-the-art yolov3 object detector from scratch!

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Listing my favorite research papers 📝 from different fields as I read them.

pytorch 包教不包会

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

TensorFlow implementation for audio neural style.

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

A collection of deep learning tutorials using Tensorflow and Python

深度学习入门教程, 优秀文章, Deep Learning Tutorial

a tensorflow implementation of WGAN

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Skin cancer classification using Inceptionv3

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Simple Implementation of many GAN models with PyTorch.

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

On the "steerability" of generative adversarial networks

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

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

CNN image style transfer 🎨.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Little More Advanced TensorFlow Implementations

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

Transfer Learning Library

Solve captcha without manually labeling a training set

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Neural Style and MSG-Net

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Deep-learning seismic facies on state-of-the-art CNN architectures

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

High Quality Monocular Depth Estimation via Transfer Learning

Style Transfer - Alia Bhatt (Google Colab)

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Material for the tutorial: "Deep Diving into GANs: from theory to production"

A stable algorithm for GAN training

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

🎨 Artistic neural style transfer with tweaks (pytorch).