wmbai

wmbai

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gkd

基于无障碍,高级选择器,订阅规则的自定义屏幕点击 Android 应用 | An Android APP with custom screen tapping based on Accessibility, Advanced Selectors, and Subscription Rules

Language:KotlinLicense:GPL-3.0Stargazers:18030Issues:0Issues:0

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Language:PythonLicense:GPL-3.0Stargazers:62545Issues:0Issues:0

pytorch-ddpm

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Language:PythonLicense:WTFPLStargazers:465Issues:0Issues:0

Awesome-Deepfakes

A list of datasets, tools, papers and code related to Deepfakes.

License:MITStargazers:77Issues:0Issues:0

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Language:PythonLicense:NOASSERTIONStargazers:18008Issues:0Issues:0

DFGC_Detection

The 1st solution for the DeepFake Game Competition (DFGC) @ IJCB 2021 Detection track.

Language:PythonStargazers:33Issues:0Issues:0

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Stargazers:4461Issues:0Issues:0

OpenFace

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

Language:MATLABLicense:NOASSERTIONStargazers:6768Issues:0Issues:0
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SelfBlendedImages

[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376

Language:PythonLicense:NOASSERTIONStargazers:192Issues:0Issues:0

F3Net

Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

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albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Language:PythonLicense:MITStargazers:13806Issues:0Issues:0

Awesome-Deepfakes-Detection

A list of tools, papers and code related to Deepfake Detection.

License:MITStargazers:807Issues:0Issues:0

Piranhas

A Toolkit for creating Peripheral Architectures (NIPS 2016)

Language:MatlabLicense:BSD-3-ClauseStargazers:24Issues:0Issues:0

PR15_demo

Exploring Space-frequency Co-occurrences via Local Quantized Patterns for Texture Representation

Language:MatlabStargazers:1Issues:0Issues:0

image-complexity

Code and data for visual image complexity prediction

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image_complexity

This is a simple estimator of image complexity. It converts an original image to bitmap and jpg files. Then it returns the file size ratio (jpg / bitmap)

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places365

The Places365-CNNs for Scene Classification

Language:PythonLicense:MITStargazers:1893Issues:0Issues:0

Face_Xray

A 3rd-party implemented Face-Xray for deepfake detection.

Language:PythonStargazers:15Issues:0Issues:0

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Language:PythonLicense:MITStargazers:16061Issues:0Issues:0

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

Language:PythonLicense:MITStargazers:7780Issues:0Issues:0

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

License:MITStargazers:1Issues:0Issues:0

FADA-Pytorch

pytorch implement for the paper Few-Shot Adversarial Domain Adaptation

Language:PythonStargazers:50Issues:0Issues:0

awesome-deepfakes

Everything Deepfakes

Stargazers:1495Issues:0Issues:0

deepfake-detection-challenge

The unofficial https://deepfakedetectionchallenge.ai/ github repo. A quick and easy way to get insight to current progress and previous work on detecting deepfake videos

Stargazers:85Issues:0Issues:0

fake-face-detection

some collected paper and personal notes relevant to Fake Face Detetection

Stargazers:281Issues:0Issues:0

SiamDW

[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Language:PythonLicense:MITStargazers:749Issues:0Issues:0

Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

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