Keras

⚡ A Fast, Extensible Progress Bar for Python and CLI

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

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

100-Days-Of-ML-Code中文版

Open standard for machine learning interoperability

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

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

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.

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.

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.

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.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.