1729 Open source projects that are alternatives of or similar to Neural Pipeline

PyTorch extensions for fast R&D prototyping and Kaggle farming

Deep learning codes and projects using Python

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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Accelerated deep learning R&D

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Segmentation models with pretrained backbones. PyTorch.

🍎 My own face recognition with deep neural networks.

CVPR 2021 论文和开源项目合集

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Gluon CV Toolkit

Keras package for region-based convolutional neural networks (RCNNs)

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

TensorFlow models accelerated with NVIDIA TensorRT

A photo OCR project aims to output DMS messages contained in sign structure images.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

AutoGluon: AutoML for Text, Image, and Tabular Data

Open solution to the TGS Salt Identification Challenge

Catalyst.Segmentation

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

An easy to use C# deep learning library with CUDA/OpenCL support

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

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

🟣 Object detection of abstract shapes with neural networks

A list of popular deep learning models related to classification, segmentation and detection problems

Implement YOLOv3 with TensorFlow

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Image segmentation - general superpixel segmentation & center detection & region growing

Best Practices, code samples, and documentation for Computer Vision.

A collection of computer vision pre-trained models.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Video Platform for Action Recognition and Object Detection in Pytorch

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

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Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

🙄 Difficult algorithm, Simple code.

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Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

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