giladcohen

PowerPaint. [ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型，可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成，只需要一个模型

hls-downloader. Web Extension for sniffing and downloading HTTP Live streams (HLS)

actionformer_release. Code release for ActionFormer (ECCV 2022)

open_clip. An open source implementation of CLIP.

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

captum. Model interpretability and understanding for PyTorch

annotated_deep_learning_paper_implementations. 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ray. Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

FreeAdversarialTraining. PyTorch Implementation of Adversarial Training for Free!

fast_adversarial. [ICLR 2020] A repository for extremely fast adversarial training using FGSM

adversarial-robustness-toolbox. Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

modAL. A modular active learning framework for Python

wide-resnet.pytorch. Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

deep_Mahalanobis_detector. Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

lid_adversarial_subspace_detection. Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

out-of-distribution-detection. The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

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

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

tensorflow_TB. Python