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

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

FinRL: Financial Reinforcement Learning. 🔥

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

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。

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Tools to Design or Visualize Architecture of Neural Network

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

😝 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

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

Graph Neural Networks with Keras and Tensorflow 2.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Recommender Learning with Tensorflow2.x