Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
Autograd and XLA for high-performance machine learning research.
A python library for doing approximate and phonetic matching of strings.
A project to make it easier to use large external knowledge bases with LLMs.
Notes on what I'm thinking about, learning, and working on.
Chinese Words Segmentation Utilities.
Chinese Words Segmentation Utilities.
Hong Jing is a data scientist & Alibaba PhD student, write about Machine Learning & Neuroscience.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Creates, rewrites or summarizes written content with language models.
Julius provides machine-learning models, research, training resources, or evaluation tools.
Juno crafts studies, leads interviews, and reveals the why — customer research run by AI.
Jupyter notebook is a web-based notebook environment for interactive computing.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
Kadoa provides machine-learning models, research, training resources, or evaluation tools.
Code for the Kaggle acquire valued shoppers challenge.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Winning solution for the Galaxy Challenge on Kaggle.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Kaveen Kumarasinghe - founder of GPT Discord - website provides machine-learning models, research, training resources, or evaluation tools.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.