452 Open source projects that are alternatives of or similar to Tracknpred

Real-time object detection on Android using the YOLO network with TensorFlow

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Kill a random process

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

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YOLO: Real-Time Object Detection using Tensorflow and easy to use

A caffe implementation of MobileNet-YOLO detection network

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Unsupervised ML algorithm for predictive modeling and time-series analysis

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

An open source tool to quantify the world

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

计算机视觉各个方向论文速览

Convert https://pjreddie.com/darknet/yolo/ into pytorch

Implementing YOLO using ResNet as the feature extraction network

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

a list of papers and codes in graphics, computer vision, and HCI

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

Discovering known and novel miRNAs from small RNA sequencing data

GPT-2 Telegram Chat bot

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

RNN based Time-series Anomaly detector model implemented in Pytorch.

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

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implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Some of the ML and DL related reading materials, research papers that I've read

YOLOv2 algorithm reimplementation with pytorch

YOLO ROS: Real-Time Object Detection for ROS

Crawler used to crawl papers

Making custom object detector using Yolo (Java and Python)

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLO Autonomous Drone - Deep Learning Person Detection: The YOLO Drone localizes and follows people with the help of the YOLO Deep Network

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

A scalable Apache Hadoop-based implementation of the Pooled Time Series video similarity algorithm based on M. Ryoo et al paper CVPR 2015.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

implementation of STGCN for traffic prediction in IJCAI2018

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

Annotation tool for YOLO in opencv

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

List of papers, code and experiments using deep learning for time series forecasting

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Tensorflow implementation of YOLO, including training and test phase.

A Python library for integrating model-based and judgmental forecasting

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

Ordinal regression in Python

Header-only library for using Keras models in C++.

CNNs for semantic segmentation using Keras library

Label images and video for Computer Vision applications

gender/age classification

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A high-level machine learning and deep learning library for the PHP language.

[NeurIPS 2019] Deep Set Prediction Networks

NN based lossless compression