An open source robotics benchmark for meta- and multi-task reinforcement learning.
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A Python module for metric learning.
A distributed machine learning framework Apache Spark.
JARVIS, a system to connect LLMs with ML community.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Open-source modding framework for creating and managing Steam Client themes and plugins.
Mine Git is a GitHub repository or organization with source code, releases, documentation, or project resources.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
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.
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!