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Understanding Deep Learning - Simon J.D. Prince
Run your own AI cluster at home with everyday devices π±π» π₯οΈβ
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
PyTorch native quantization and sparsity for training and inference
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
Anthropic's educational courses
High-resolution models for human tasks.
π Experience tranquillity while browsing the web without people tracking you!
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for π
A deep dive into embeddings starting from fundamentals
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery π§βπ¬
π¦ Small exercises to get you used to reading and writing Rust code!
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
real time face swap and one-click video deepfake with only a single image
STUMPY is a powerful and scalable Python library for modern time series analysis
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use thβ¦
A new markup-based typesetting system that is powerful and easy to learn.
Code at the speed of thought β Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Lightning β‘οΈ fast forecasting with statistical and econometric models.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
π A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Python toolkit for quantitative finance