Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
All-in-one web-based IDE specialized for machine learning and data science.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ML-Ops provides machine-learning models, research, training resources, or evaluation tools.
Machine learning and numerical analysis tools for Node.js and the Browser!
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Friendly machine learning for the web!
A set of functions to support the development of machine learning algorithms.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
MLDB provides machine-learning models, research, training resources, or evaluation tools.
A Julia machine learning framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
No need to keep checking your training, just one import line and you'll know the second it's done.
A scalable C++ machine learning library.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A library consisting of useful tools for data science and machine learning tasks.
A modular active learning framework for Python, built on top of scikit-learn.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Discover open source deep learning code and pretrained models.