1245 Open source projects that are alternatives of or similar to Bottleneck Transformer Pytorch

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Computer Graphics vs Real Photographic Images : A Deep-learning approach

Python Examples for Remote Sensing

Exploring attention weights in transformer-based models with linguistic knowledge.

2nd place solution to Kaggle's Cdiscount image classification challange.

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

C# Yolo Darknet Wrapper (real-time object detection)

Listing my favorite research papers 📝 from different fields as I read them.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

One-click image sorting/labelling script

Grakn Knowledge Graph Library (ML R&D)

ROS2 nodes for computer vision tasks in Tensorflow

This repo contains C++ code for sparse scene flow method.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

A list of data mining and machine learning papers that I implemented in 2019.

Face detection & recognition AR app using the mlmodel to recognize company employees.

Libtorch Examples

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Attention mechanism in CNNs to extract events of interest

Car Crash Accident Project

iOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Computer Vision And Neural Network with Xamarin

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Using Residual Attention Networks to diagnose retinal diseases in medical images

Predict materials properties using only the composition information!

Pointer-generator reinforced seq2seq summarization in PyTorch

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Implementation of Nyström Self-attention, from the paper Nyströmformer

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Link of ML papers to their blogs/ supplementary material

image classification via video input, frame-by-frame

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Machine Learning platform in-browser for creators

Image classifier in Elixir

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

List of Deep Learning Cloud Providers

Extract deep learning features from images using simple python interface

一些不同的Attention机制代码

Open-source self-driving car based on DonkeyCar and programmable chassis

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

👀 iOS11 demo application for age and gender classification of facial images.

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

💁‍♀️Your new best friend powered by an artificial neural network

VisionCamera Frame Processor Plugin to label images using MLKit Vision

Python REST API to detect images with adult content

AI Automated Planning with STRIPS and PDDL in Node.js

EVEREST: e-Versatile Research Stick for peoples

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas