1437 Open source projects that are alternatives of or similar to HugsVision

Medical Q&A with Deep Language Models

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

💥Make your yolov5 dataset by using labelimg.I hope my work can help you make your yolov5 datasets more quickly.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Deep Learning Bootcamp

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Repository to identify Lego bricks automatically only using images

Machine Learning Project to identify an ID Card on an image

Finetuning any DNN for better embedding on neural search tasks

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

A flexible Python front-end inference SDK based on TensorRT

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

Deep and Machine Learning for Microscopy

Weakly supervised medical named entity classification

Zero administration inference with AWS Lambda for 🤗

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

✌Real-time translation of the Auslan Alphabet

A machine learning exercise, using KNN to classify deforested areas

Flexible components pairing 🤗 Transformers with Pytorch Lightning

about how to use stagesepx in production

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

Keras BiseNet architecture implementation

DL & CV & Neural Network

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

A private nlp coding package, which quickly implements the SOTA solutions.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Building footprint segmentation from satellite and aerial imagery

One-click image sorting/labelling script

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Conversion of yolo from DarkNet to Caffe

ROS2 nodes for computer vision tasks in Tensorflow

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

AttaNet for real-time semantic segmentation.

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Semantically segment the road in the given image.

Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

PyTorch implementation of YOLO-v1 including training

Keras implementation of InceptionV4 Paper

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

GUI-based software for training, evaluating and applying deep neural nets for image classification

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

Easy Image Classification with TensorFlow

An ES6 utility for canvas with built-in functions and chained methods.

🔮 Answering multiple choice questions with Language Models.

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等