Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
Continue - Open-source AI code assistant. Connect any model and any context to create custom autocomplete and chat experiences inside the IDE.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Google TPU optimizations for transformers models.
Python-based meta-heuristic optimization techniques.
Docker for Your ML/DL Models Based on OCI Artifacts.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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 Framework from Industrial Practice.
Resource scheduling and cluster management for AI.
Twitch moderation bot
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Parris, the automated infrastructure setup tool for machine learning algorithms.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
A complete object-oriented environment for machine learning in Matlab.