Command-line utility to scan the system and report on potential vulnerabilities, based on public CVE data

The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 200 common, vulnerable components (openssl, libpng, libxml2, expat and others),…

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Tools for understanding how transformer predictions are built layer-by-layer

Minimal keyword extraction with BERT

Universal and Transferable Attacks on Aligned Language Models

A federated learning framework to support scalable and reproducible research

Open-Sora: Democratizing Efficient Video Production for All

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

A standard framework for modelling Deep Learning Models for tabular data

Generative adversarial training for generating synthetic tabular data.

JSON Web Token implementation in Python

Protect your machine learning models easily and securely with watermarking 🔑

Federated Learning for LLMs.

Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)

Mutual Information Neural Estimation in Pytorch

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

[ICLR 2024] Generating DP Synthetic Data without Training