Enables single machine or distributed training and evaluation of deep learning models.
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.
A Julia framework for probabilistic graphical models.
Python library for working with Probabilistic Graphical Models.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
Phrasly AI provides machine-learning models, research, training resources, or evaluation tools.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
Use AutoML to do model compression.
Engage with relevant posts, get your posts highlighted for engagement, and distribute them to your audience.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
Multilingual text (NLP) processing toolkit.
Your AI Workspace with Memory: smarter with every use. Your agents learn from every analysis.
A high-speed inference engine for deploying LLMs locally.
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation) provides machine-learning models, research, training resources, or evaluation…
A library for machine learning that builds predictions using a linear regression.
A library for machine learning that builds predictions using a linear regression.
Space emoji (emoji-only character allowed).
PressPulse AI provides machine-learning models, research, training resources, or evaluation tools.
Connect your own data sources to a private AI powered tool and start asking in natural language.
Ask questions to your documents without an internet connection, using the power of LLMs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.