github.com
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
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ownml.co
Technology guy with a penchant for the web and for data, big and small.
github.com
PyTorch Implementation of No Token Left Behind: Explainability-Aided Image Classification and Generation.
github.com
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
An introduction to the concepts behind AgentGPT, BabyAGI, LangChain, and the LLM-powered agent revolution.
github.com
Basic functions for clustering data: k-means, dp-means, etc.
github.com
A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
github.com
Basic proof of concept for genetic architecture search in Keras.
github.com
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
home.work.caltech.edu
Introduction to machine learning covering basic theory, algorithms and applications.
mlu-explain.github.io
Mlu is developed amazon to help people in ml space you can learn everything from basics here with live diagrams.
github.com
Basic sampling algorithms for Julia.