deep learning for image processing including classification and object-detection etc.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

A resource for learning about Machine learning & Deep Learning

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

ChatGPT带火了聊天机器人，主流的趋势都调整到了GPT类模式，本项目也与时俱进，会在近期更新GPT类版本。基于本项目和自己的语料可以训练出自己想要的聊天机器人，用于智能客服、在线问答、闲聊等场景。

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Sandbox for training deep learning networks

Graph Neural Networks with Keras and Tensorflow 2.

Recommender Learning with Tensorflow2.x

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

DexiNed: Dense EXtreme Inception Network for Edge Detection

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code