kyamagu.github.io
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
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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.
github.com
Friendly machine learning for the web!
github.com
A set of functions to support the development of machine learning algorithms.
github.com
A Julia machine learning framework.
github.com
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
github.com
No need to keep checking your training, just one import line and you'll know the second it's done.