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1-bit-per-weight

Training wide residual networks for deployment using a single bit for each weight

accessmath-icfhr2018

Lecture Video Summarization by Extracting Handwritten Content from Whiteboards

accessmath_pose

Code and Data for ICDAR 2019 paper: Content Extraction from Lecture Video via Speaker Action Classification based on Pose Information

adsh-aaai2018

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

adsh_pytorch

Source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

advcam-hide-adv-with-natural-styles

adversarial-logit-pairing-analysis

Analysis of Adversarial Logit Pairing

ai-challenger-plant-disease-recognition

AI Challenger -- 农作物病害识别

aicrecommendationproject

Automatically exported from code.google.com/p/aicrecommendationproject

alpha-beta-crown

amm.pytorch

Implementation of our T-PAMI 2019 paper: Adversarial Margin Maximization Networks

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arabic-ocr

OCR system for Arabic language that converts images of typed text to machine-encoded text.

arqmath-data-preprocessing

Preprocessed ARQMath competition datasets

arqmath-eval

Evaluation of systems for the ARQMath competition

arqmathcode

arxiv-topic

Detecting topic clusters in arXiv ML papers.

arxivformula

This repo is used to release the ArxivFormula dataset.

at-cnn

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

auto-draft

基于GPT4的文献总结工具.

auto-editor

Auto-Editor: Effort free video editing!

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autocut

用文本编辑器剪视频

autodistill-paligemma

Use PaliGemma to auto-label data for use in training fine-tuned vision models.

automated-detection-of-covid-19-cases-using-deep-neural-networks-with-cts-images

The use of advanced artificial intelligence (AI) techniques combined with radiological imaging can be useful for accurate diagnosis of the disease and can also help overcome the shortage of specialist physicians in remote villages. In this project, a new model for automatic detection of covid-19 using raw chest X-ray images is presented. The proposed model is designed to provide an accurate diagnosis for binary classification (COVID vs. pneumonia ) and multi-classification (covid, pneumonia, nodel, boronshit, normal). Our model produces 99.08% classification accuracy for binary classifications and 95.02% for multi-class cases. The DarkNet model was used in our study as a classification where you only look at the real-time object recognition system once (YOLO(v3)). We applied 17 layers of the convolution and applied different filters on each layer. Our model can be used to help radiologists discredit their initial screening and can also be used over the cloud for rapid screening of patients.