There are 342 repositories under keras topic.
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
Visualizer for neural network, deep learning, and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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
A neural network that transforms a design mock-up into a static website.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Keras implementations of Generative Adversarial Networks.
AutoML library for deep learning
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.
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
A course in reinforcement learning in the wild
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
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.
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.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TensorFlow Basic Tutorial Labs
PipelineAI Kubeflow Distribution
Building Large-Scale AI Applications for Distributed Big Data
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Model summary in PyTorch similar to `model.summary()` in Keras