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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.
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.
C, C++, and Python tools for named entity recognition and relation extraction.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
JARVIS, a system to connect LLMs with ML community.
An open source robotics benchmark for meta- and multi-task reinforcement learning.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A platform for deploying and serving machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.