Popular GitHub Repositories for Keras

Visualizer for neural network, deep learning and machine learning models

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.

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

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

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

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.

一款入门级的人脸、视频、文字检测以及识别的项目.

AutoML library for deep learning

Keras implementations of Generative Adversarial Networks.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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

Setup and customize deep learning environment in seconds.

A course in reinforcement learning in the wild

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.

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