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

A resource for learning about Machine learning & Deep Learning

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

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。

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。

😝 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)

Sandbox for training deep learning networks

Recommender Learning with Tensorflow2.x

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

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

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

Graph Neural Networks with Keras and Tensorflow 2.

⚡ 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.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

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

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）

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

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

People detection and optional tracking with Tensorflow backend.