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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python Data Science Handbook: full text in Jupyter Notebooks
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Data and code behind the articles and graphics at FiveThirtyEight
High-Resolution Image Synthesis with Latent Diffusion Models
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Public facing notes page
Multi-Joint dynamics with Contact. A general purpose physics simulator.
An open-source, low-code machine learning library in Python
Sweep: AI coding assistant for JetBrains
The fastest way to create an HTML app
An adversarial example library for constructing attacks, building defenses, and benchmarking both
An annotated implementation of the Transformer paper.
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
The hub for EleutherAI's work on interpretability and learning dynamics
Training PyTorch models with differential privacy
Official PyTorch repo for JoJoGAN: One Shot Face Stylization
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Repository for the free online book Machine Learning from Scratch (link below!)
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Utility functions for handling MIDI data in a nice/intuitive way.