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Unified Training of Universal Time Series Forecasting Transformers

MrD Deeplearning Trainer Tool 2026: Open Source AI Model Training Suite for Developers

DImensionality REduction in JAX

Python runtime for the Apple Neural Engine

Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.

Boosting your Web Services of Deep Learning Applications.

• :hatching_chick: Easy to use: Minor changes can speed up the model ten times.
• :zap: Fast processing speed: Low latency for online inference of machine learning models.

source{d} datasets ("big code") for source code analysis and machine learning on source code

• Structural commit features
• Description: 1.6 million commits in 622 Java repositories on GitHub.

StellarGraph - Machine Learning on Graphs

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.