fabianhenning Goto Github PK
Type: User
Company: Fraunhofer IOSB
Bio: Computer Vision R&D at Fraunhofer IOSB | Computer Science at HU Berlin
Location: Berlin
Type: User
Company: Fraunhofer IOSB
Bio: Computer Vision R&D at Fraunhofer IOSB | Computer Science at HU Berlin
Location: Berlin
Google Research - Identify Contrails to Reduce Global Warming
Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow
Awesome Crowd Counting
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.
A website that implements 3 crowd counting algorithms and helps you to predict number of people in images, videos, and in your camera.
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model [CVPR 2023]
Demos of crowd counting in images and videos using deep learning
The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
Hands-on Deep Reinforcement Learning, published by Packt
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
Dependency Parsing as Sequence Labeling with Python3+ and PyTorch1+ and MTL
An experiment in open-ended publishing
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
Efficient computing methods developed by Huawei Noah's Ark Lab
This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
The fastai deep learning library
A very simple framework for state-of-the-art Natural Language Processing (NLP)
This repository adds examples on how to train Flair on Google Cloud Platform (GCP) AI Platform and how to deploy a Flair-model on GCP Cloud Run.
A very simple news crawler with a funny name
Pytorch Implementation of GoEmotions 😍😢😱
Solution of Kaggle Fast or Slow competition by Google
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.