Google Research

Anthropic's Interactive Prompt Engineering Tutorial

A game theoretic approach to explain the output of any machine learning model.

This repository contains implementations and illustrative code to accompany DeepMind publications

This repository contains demos I made with the Transformers library by HuggingFace.

QLoRA: Efficient Finetuning of Quantized LLMs

A collection of pre-trained, state-of-the-art models in the ONNX format

Taming Transformers for High-Resolution Image Synthesis

Efficient Image Captioning code in Torch, runs on GPU

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Python libraries for Google Colaboratory

Deep Learning tutorials in jupyter notebooks.

Keras implementation of Deeplab v3+ with pretrained weights

Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.