SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873

[TACL] Code for "Red Teaming Language Model Detectors with Language Models"

Refine high-quality datasets and visual AI models

repository for a paper, Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A latent text-to-image diffusion model

ImageNet-R(endition) and DeepAugment (ICCV 2021)

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

POT : Python Optimal Transport

Repo for the Deep Reinforcement Learning Nanodegree program

An implementation of vggish in keras with tf backend

PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Demo - High-Level Reasoning and Audio-Visual Understanding

Pretrained TorchVision models on CIFAR10 dataset (with weights)

ACCV'18 workshop - Synthesizing New Retinal Symptom Images by Multiple Generative Models

A PyTorch implementation of the "Tracking-by-Animation" algorithm published at CVPR 2019.

ICML 18 workshop - Evolutionary Strategy Gradient Decent for Designing Gene Circuit

A neural attention model for speech command recognition

95.16% on CIFAR10 with PyTorch

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

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Datasets, Transforms and Models specific to Computer Vision

tmp

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

A curated list of awesome deep causal learning methods since 2018

ICML Workshop 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model