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ChatGPT Plus extension on all websites.
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getmerlin.in
ChatGPT Plus extension on all websites.
metabrown.com
Creates, rewrites or summarizes written content with language models.
github.com
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
github.com
An open source robotics benchmark for meta- and multi-task reinforcement learning.
kyamagu.github.io
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
github.com
A distributed machine learning framework Apache Spark.
github.com
JARVIS, a system to connect LLMs with ML community.
github.com
General technology for enabling AI capabilities w/ LLMs and MLLMs.
github.com
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
github.com
Integrate LLM technology quickly and easily into your apps.
github.com
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
github.com
List of several machine learning libraries.
github.com
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
github.com
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
github.com
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
introtodeeplearning.com
Deep learning foundations and applications.
github.com
C, C++, and Python tools for named entity recognition and relation extraction.
github.com
A Julia package for fitting (statistical) mixed-effects models.
huggingface.co
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
ml-resources.vercel.app
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
All-in-one web-based IDE specialized for machine learning and data science.
github.com
Machine learning and numerical analysis tools for Node.js and the Browser!
github.com
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.