Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
Repository Index
47,133 repositories indexed
1–24 of 31 · Most stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
🔥 A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Meshery, the cloud native manager
- meshery
- management-plane
- hacktoberfest
- kubernetes
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
- oceanbase
- paxos
- htap
- cloud-native
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
- json
- python
- rust
- serialization
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
📊 Re-usable, easy interface JavaScript chart library based on D3.js, with SVG and Canvas rendering support
QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
- owncloud
- c-plus-plus
- qownnotes
- nextcloud
Radzen Blazor is the most sophisticated free UI component library for Blazor, featuring 155+ native components including DataGrid, Scheduler, Charts, and advanced theming with full support for Material Design and Fluent UI. If Radzen Blazor is useful to you, a ⭐ on GitHub helps other Blazor developers find it.
- blazor
- asp-net-core
- blazor-components
- blazor-application
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）
- kline
- time-line
- candlestick
- canvas
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
A tool for analyzing the size of compiled Go binaries, offering cross-platform support, detailed breakdowns, and multiple output formats.
- binary
- golang
- symbol
- visualization
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Add built-in support for quaternions to numpy
Support for jupyter notebook templates in jupyterlab