Popular GitHub Repositories for Supervised Clustering

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

VIP cheatsheets for Stanford's CS 229 Machine Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

An open-source, low-code machine learning library in Python

Postgres with GPUs for ML/AI apps.

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

A curated list of awesome self-supervised methods

Code for Tensorflow Machine Learning Cookbook

Statistical Machine Intelligence & Learning Engine

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

OpenMMLab Pre-training Toolbox and Benchmark