{"id":6659,"url":"https://github.com/markusschanta/awesome-keras","name":"awesome-keras","description":"A curated list of awesome Keras projects, libraries and resources","projects_count":46,"last_synced_at":"2026-10-23T03:00:22.318Z","repository":{"id":148953497,"uuid":"532564882","full_name":"markusschanta/awesome-keras","owner":"markusschanta","description":"A curated list of awesome Keras projects, libraries and resources","archived":false,"fork":false,"pushed_at":"2022-10-25T12:09:13.000Z","size":163,"stargazers_count":36,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-10-03T20:47:06.788Z","etag":null,"topics":["awesome","awesome-list","data-science","deep-learning","keras","machine-learning","neural-network","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/markusschanta.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-09-04T14:31:23.000Z","updated_at":"2026-07-16T19:43:25.000Z","dependencies_parsed_at":"2023-04-13T23:35:53.890Z","dependency_job_id":null,"html_url":"https://github.com/markusschanta/awesome-keras","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/markusschanta/awesome-keras","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/markusschanta%2Fawesome-keras","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/markusschanta%2Fawesome-keras/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/markusschanta%2Fawesome-keras/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/markusschanta%2Fawesome-keras/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/markusschanta","download_url":"https://codeload.github.com/markusschanta/awesome-keras/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/markusschanta%2Fawesome-keras/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":345082042,"owners_count":38478075,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-23T02:00:05.958Z","response_time":105,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-07T11:01:27.133Z","updated_at":"2026-10-23T03:00:22.319Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Community Resources","Network Visualisation","Examples/Notebooks","Core Libraries","Frameworks","Documentation"],"sub_categories":[],"readme":"# Awesome Keras [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fmarkusschanta%2Fawesome-keras\u0026count_bg=%2379C83D\u0026title_bg=%23555555\u0026icon=\u0026icon_color=%23E7E7E7\u0026title=hits\u0026edge_flat=false)](https://hits.seeyoufarm.com)\n\nA curated list of awesome [Keras](http://keras.io/) projects, libraries and resources. Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation.\n\n\u003cdiv align=\"center\" style=\"border-bottom: 0px;\"\u003e\n\t\u003cbr\u003e\n\t\u003cimg width=\"640\" src=\"https://raw.githubusercontent.com/markusschanta/awesome-keras/main/media/logo.png\" alt=\"Awesome Keras logo\"\u003e\n\t\u003cbr\u003e\n\t\n🎉 This project is brand new: Your 🤝 **contributions** 🤝 and ⭐️ **stars** ⭐️ are much appreciated! 🎉\n\u003c/div\u003e\n\n## Contents\n\n\u003c!--lint ignore awesome-toc alphabetize-lists--\u003e\n- [Core Libraries](#core-libraries)\n- [Frameworks](#frameworks)\n- [Network Visualisation](#networkvisualization)\n- [Examples/Notebooks](#examplesnotebooks)\n- [Documentation](#documentation)\n- [Community Resources](#community-resources)\n\n---\n\n## Core Libraries\n\n\u003c!--lint disable alphabetize-lists--\u003e\n- [keras](https://github.com/keras-team/keras) - Deep learning for humans.\n- [autokeras](https://github.com/keras-team/autokeras) - AutoML library for deep learning.\n- [keras-tuner](https://github.com/keras-team/keras-tuner) - Hyperparameter tuning for humans.\n- [keras-cv](https://github.com/keras-team/keras-cv) - Industry-strength Computer Vision workflows with Keras.\n- [keras-nlp](https://github.com/keras-team/keras-nlp) - Development environment with seamless data transmission from one language to another.\n\u003c!--lint enable alphabetize-lists--\u003e\n\n## Frameworks\n\n- [byteps](https://github.com/bytedance/byteps) - A high performance and generic framework for distributed DNN training.\n- [deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor) - An overview of packages for model conversion between frameworks.\n- [deepo](https://github.com/ufoym/deepo) - A collection of/framework to create deep learning Docker images.\n- [einops](https://github.com/arogozhnikov/einops) - A library for flexible and powerful tensor operations to make code more readable and reliable.\n- [horovod](https://github.com/horovod/horovod) - A distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\n- [hyperas](https://github.com/maxpumperla/hyperas) - Keras + Hyperopt: A simple wrapper for hyperparameter optimization.\n- [keras-rl](https://github.com/keras-rl/keras-rl) - Deep reinforcement learning for Keras.\n- [MMdnn](https://github.com/microsoft/MMdnn) - A cross-framework tool to convert, visualize and diagnose deep learning models.\n- [ncnn](https://github.com/Tencent/ncnn) - A high-performance neural network framework optimized for mobile platforms.\n- [onnx](https://github.com/onnx/onnx) - An open standard for machine learning interoperability.\n- [wandb](https://github.com/wandb/wandb) - A tool for visualizing and tracking your machine learning experiments.\n\n## Network Visualisation\n\n- [keras-sequential-ascii](https://github.com/stared/keras-sequential-ascii) - An ASCII summary for simple sequential models in Keras.\n- [keras-vis](https://github.com/raghakot/keras-vis) - A neural network visualization toolkit for keras.\n- [netron](https://github.com/lutzroeder/netron) - A visualizer for neural network, deep learning and machine learning models.\n- [tensorspace](https://github.com/tensorspace-team/tensorspace) - A 3D visualization framework for neural networks.\n- [TtDoVAoNN](https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network) - A list of tools to design or visualize architecture of neural networks.\n- [visualkeras](https://github.com/paulgavrikov/visualkeras) - A Python package to help visualize Keras neural network architectures.\n\n## Examples/Notebooks\n\n- [ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition) - A deep learning-Based Chinese speech recognition system.\n- [D2L.ai](https://github.com/d2l-ai/d2l-en) - An interactive deep learning book with multi-framework code, math, and discussions. \u003c!--lint disable double-link--\u003e\n- [data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) - A collection of data science notebooks (dedicated [Keras section](https://github.com/donnemartin/data-science-ipython-notebooks#keras-tutorials)).  \u003c!--lint enable double-link--\u003e\n- [deepjazz](https://github.com/jisungk/deepjazz) - Deep learning-driven jazz music generation using Keras and Theano.\n- [donkeycar](https://github.com/autorope/donkeycar) - Open source hardware and software platform to build a small scale self driving car.\n- [image-super-resolution](https://github.com/idealo/image-super-resolution) - A implementation to scale images using residual dense and adversarial networks.\n- [imgclsmob](https://github.com/osmr/imgclsmob) - A sandbox for training convolutional neuronal networks.\n- [keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism) - A many-to-one attention mechanism implementation in Keras.\n- [Keras-GAN](https://github.com/eriklindernoren/Keras-GAN) - A Keras implementation of Generative Adversarial Networks.\n- [Mask_RCNN](https://github.com/matterport/Mask_RCNN) - An implementation of Mask R-CNN for object detection and segmentation on Keras and TensorFlow.\n- [satellite-image-deep-learning](https://github.com/robmarkcole/satellite-image-deep-learning) - A collection of resources relating to deep learning with satellite \u0026 aerial imagery.\n- [Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code) - A neural network that transforms a design mock-up into a static website.\n- [sketch-code](https://github.com/ashnkumar/sketch-code) - A Keras model to generate HTML code from hand-drawn website mockups.\n- [spektral](https://github.com/danielegrattarola/spektral) - Graph Neural Networks with Keras and Tensorflow.\n- [textgenrnn](https://github.com/minimaxir/textgenrnn) - A library that allows simple training of text-generating neural networks with a few lines of code.\n- [unet](https://github.com/zhixuhao/unet) - An implementation of U-Net using Keras.\n\n## Documentation\n\n- [cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai) - A collection of deep learning/ML cheat sheets for ([Keras cheatsheet](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Keras.jpg)).\n\n## Community Resources\n\n- GitHub - Search: [keras](https://github.com/search?type=Repositories\u0026q=keras)\n- GitHub - Topics: [keras](https://github.com/topics/keras), [tensorflow](https://github.com/topics/tensorflow), [neural-networks](https://github.com/topics/neural-networks)\n- Gitter - [Keras Gitter Chatroom](https://gitter.im/Keras-io/Lobby)\n- [kandi Kits Topic](https://kandi.openweaver.com/explore/keras) - Discover popular Keras libraries, top authors, trending project kits, discussions, tutorials \u0026 learning resources.\n- Mailing Lists - [Keras users mailing list](https://groups.google.com/g/keras-users)\n- PyPI - [``Keras``](https://pypi.org/project/keras/)\nis the PyPI Keras project.\n- Stack Overflow - Tags: [keras](https://stackoverflow.com/questions/tagged/keras?tab=Votes)\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/markusschanta%2Fawesome-keras/projects"}