machine-learning
Tracked open-source repos tagged machine-learning, sorted by stars.
- #901
Fast and customizable framework for automatic ML model creation (AutoML)
★ 1,472+0Star change over the last 7 days - #902
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
★ 1,469+0Star change over the last 7 days - #903
ModelFox makes it easy to train, deploy, and monitor machine learning models.
★ 1,467+0Star change over the last 7 days - #904
A curriculum for learning about foundation models, from scratch to the frontier
★ 1,464+1Star change over the last 7 days - #905
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
★ 1,462+1Star change over the last 7 days - #906
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
★ 1,453+1Star change over the last 7 days - #907
AMD-SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
★ 1,451+1Star change over the last 7 days - #908★ 1,450+1Star change over the last 7 days
- #909
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
★ 1,449+2Star change over the last 7 days - #910
Machine learning powered Karaoke app (with scores!)
★ 1,444+17Star change over the last 7 days - #911
Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.
★ 1,442-1Star change over the last 7 days - #912★ 1,440+1Star change over the last 7 days
- #913
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
★ 1,440+0Star change over the last 7 days - #914
A group of notebooks and other files which can help you learn AI from scratch.
★ 1,438+4Star change over the last 7 days - #915
Metric learning algorithms in Python
★ 1,438+0Star change over the last 7 days - #916
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
★ 1,436+0Star change over the last 7 days - #917★ 1,433+0Star change over the last 7 days
- #918★ 1,433+3Star change over the last 7 days
- #919★ 1,431-1Star change over the last 7 days
- #920
OpenCV-Python4.1 中文文档
★ 1,430+0Star change over the last 7 days - #921★ 1,429-1Star change over the last 7 days
- #922
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
★ 1,429+1Star change over the last 7 days - #923★ 1,428+0Star change over the last 7 days
- #924★ 1,427+2Star change over the last 7 days
- #925
Concise and beautiful algorithms written in Julia
★ 1,426+0Star change over the last 7 days - #926★ 1,418+0Star change over the last 7 days
- #927
A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.
★ 1,416+0Star change over the last 7 days - #928
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
★ 1,412+0Star change over the last 7 days - #929
🏆 A ranked gallery of awesome streamlit apps built by the community
★ 1,411+2Star change over the last 7 days - #930
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
★ 1,410+0Star change over the last 7 days