This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024

Instruction Tuning with GPT-4

Code for the paper "Jukebox: A Generative Model for Music"

A latent text-to-image diffusion model

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A notebook containing code to train your own Dreambooth model using Stable Diffusion.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

CLIP (Contrastive Language–Image Pre-training) for Italian

Federated Learning Utilities and Tools for Experimentation

Documentation for GitHub Copilot

PyTorch original implementation of Cross-lingual Language Model Pretraining.

a CLI that provides a generic automation layer for assessing the security of ML models

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Project for open sourcing research efforts on Backward Compatibility in Machine Learning

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

Fit interpretable models. Explain blackbox machine learning.

An Open-Source Package for Textual Adversarial Attack.

Repository containing notebooks of my posts on Medium

A simple baseline for one-shot multi-object tracking

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A Deep Learning based project for colorizing and restoring old images (and video!)

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.