Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
-
Updated
May 20, 2024 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
An Engine-Agnostic Deep Learning Framework in Java
An Open Source Machine Learning Framework for Everyone
【🏗️施工中】机器学习入门书:站在高中数学视角了解基础机器学习算法。
Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
Tools for easing the handoff between AI/ML and App/SRE teams.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
🕶️ Adds chat auto-clear functionality to ChatGPT for more privacy
🤖 Apps that utilize the astounding power of ChatGPT or enhance its UX
This Repo Conatins all ML Algorithms form Supervised Learning to Unsupervised Learning and so on...
Implementations of essential machine learning algorithms from scratch
Simple and Distributed Machine Learning