ML & DL
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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 comp…
scikit-learn: machine learning in Python
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
End-to-End Object Detection with Transformers
COYO-700M: Large-scale Image-Text Pair Dataset
portDNN is a library implementing neural network algorithms written using SYCL
SYCL-ML is a C++ library, implementing classical machine learning algorithms using SYCL.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…
Relax! Flux is the ML library that doesn't make you tensor
The Deep Learning with Julia book, using Flux.jl.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
YTsaurus is a scalable and fault-tolerant open-source big data platform.
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.