Visualizer for neural network, deep learning and machine learning models

:zap: A Fast, Extensible Progress Bar for Python and CLI

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

100-Days-Of-ML-Code中文版

Open standard for machine learning interoperability

A neural network that transforms a design mock-up into a static website.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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

一款入门级的人脸、视频、文字检测以及识别的项目.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

AutoML library for deep learning

Keras implementations of Generative Adversarial Networks.

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

A course in reinforcement learning in the wild

Setup and customize deep learning environment in seconds.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Deep Reinforcement Learning for Keras.

Tools to Design or Visualize Architecture of Neural Network

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Run Keras models in the browser, with GPU support using WebGL

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.