CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Efficient Image Captioning code in Torch, runs on GPU

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Python class that generates pixel art from images

functorch is JAX-like composable function transforms for PyTorch.

Tensors, for human consumption

Search inside YouTube videos using natural language

Repository for TweetEval

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Code to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).

Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"

Demo code for the paper ''Distributional Adversarial Networks''

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

ICLR Database maintained by CogComp@UPenn

ROCK: Causal Inference Principles for Reasoning about Commonsense Causality