DSPy: The framework for programming—not prompting—language models

Convert Machine Learning Code Between Frameworks

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

A language for constraint-guided and efficient LLM programming.

Visual tracking library based on PyTorch.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Code for visualizing the loss landscape of neural nets

Implementation of Graph Auto-Encoders in TensorFlow

A pytorch adversarial library for attack and defense methods on images and graphs

A benchmark to evaluate language models on questions I've previously asked them to solve.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

A dataset of 200k English plaintext jokes.

📘 The experiment tracker for foundation model training

Provable adversarial robustness at ImageNet scale

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Breaching privacy in federated learning scenarios for vision and text

Datasets derived from US census data

The QMNIST dataset

Accelerated First Order Parallel Associative Scan

Helps you build better AI agents through debuggable unit testing

Hessian spectral density estimation in TF and Jax

A repository of Language Model Vulnerabilities and Exposures (LVEs).

Discount jupyter.

Screenshot tiles from Google Maps and stitch them into one giant map

Watermark Stealing in Large Language Models (ICML '24)

Latent Space Smoothing for Individually Fair Representations (ECCV 2022)

This repository contains Excadrill, a deep web data extraction and analytics platform.

A statistical test for contamination detection in language models.

Detection and tracking of handwritten digits on a sheet of paper via webcam, using a CNN