A Visual Studio Code extension for Colab.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust

A working machine learning framework in pure Mojo 🔥

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Minimalist ML framework for Rust

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Open-source vector similarity search for Postgres

Data Science with Apache Spark and Spark Notebook

Inference Llama 2 in one file of pure 🔥

Inference Llama 2 in one file of pure Python

A plugin to edit and view Excalidraw drawings in Obsidian

VS Code extension for Databricks

Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Statistical Rethinking course winter 2022

🎈 Simple reactive notebooks for Julia

State-of-the-Art Text Embeddings

Black formatter for Jupyter Notebook

Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

💧 A server-side Swift HTTP web framework.

A suite of libraries for data science & high performance computation in Swift

Github repo with tutorials to fine tune transformers for diff NLP tasks

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

FUSE filesystem over Google Drive

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Visual Studio Code

Swift library for Data Visualization 📊

Tensors and Dynamic neural networks in Python with strong GPU acceleration