TranslatedA Deep-Learning-Based Chinese Speech Recognition System
- tensorflow
- cnn
- ctc
- python
80,339 visible repositories in the index
73–96 of 528 · Most stars
TranslatedA Deep-Learning-Based Chinese Speech Recognition System
TensorFlow examples
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TranslatedSay goodbye to boredom; dedicated to creating practical small Python examples. For more conscientious Python tutorials, see https://ai-jupyter.com
all kinds of text classification models and more with deep learning
TranslatedTensorFlow 2 Chinese tutorials, continuously updated (current version: tensorflow2.0), tag: tensorflow 2.0 tutorials
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/
Implementation of Graph Convolutional Networks in TensorFlow
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Alluxio, data orchestration for analytics and machine learning in the cloud
TensorFlow's Visualization Toolkit
Flower: A Friendly Federated AI Framework
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A Keras implementation of YOLOv3 (Tensorflow backend)
Largest list of models for Core ML (for iOS 11+)
TranslatedTensorFlow practical exercises, including reinforcement learning, recommender systems, NLP, etc.
An open source library for deep learning end-to-end dialog systems and chatbots.
Examples built with TensorFlow.js
TranslatedStock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code.
A course in reinforcement learning in the wild