machine-learning

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Training and serving large-scale neural networks with auto parallelization.

Siamese and triplet networks with online pair/triplet mining in PyTorch

The machine learning toolkit for time series analysis in Python

List of tools & datasets for anomaly detection on time-series data.

A python library for decision tree visualization and model interpretation.

Isolate vocals, drums, bass, and other instrumental stems from any song

TensorFlow API for .NET languages

a delightful machine learning tool that allows you to train, test, and use models without writing code

Foundation Architecture for (M)LLMs

A high performance implementation of HDBSCAN clustering.

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Machine learning glossary

✍️ AI powered documentation writer

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Represent, send, store and search multimodal data

Visualize and compare datasets, target values and associations, with one line of code.