Search

A curated list of awesome Machine Learning frameworks, libraries and software.

✨ AI/ML Research

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). Build EU AI Act conformity evidence, validate models like a risk committee, price predictive-maintenance alarms, measure document extraction, and make a simulated humanoid walk. Every lesson autograded. From the team building Synapsa.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

SchNetPack - Deep Neural Networks for Atomistic Systems

Visualise your Kedro data and machine-learning pipelines and track your experiments.

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

Code Repository for MS20190155

Learn ML engineering for free in 4 months! Register here 👇🏼

This is the notes of the way of machine learning study. You may find something useful in it.

A roadmap for getting started with Machine Learning

List of resources for mineral exploration and machine learning, generally with useful code and examples.

Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.

100+ AI Machine learning Deep learning Computer vision NLP Projects with code

100 AI Machine Learning Deep Learning Projects is a curated repository showcasing innovative, production-ready solutions across computer vision, NLP, and more.

Your Cheat Sheet for Machine Learning Interview – Questions and Answers.

A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics

Machine Learning Specialization - Study Notes & Labs

Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention