https://github.com/ataraxialab/atresearch

https://github.com/ataraxialab/atresearch

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: ataraxialab
  • Default Branch: master
  • Size: 3.91 KB
Statistics
  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 9 years ago · Last pushed about 9 years ago
Metadata Files
Readme

README.md

AtResearch

Research Directions to follow

Basic Recognition

  • Base Algorithms: Classification, Detection, Segmentation, Description
  • Special: Face & Body & Hand
  • OCR

Video Algorithms

  • Tracking

    • GOTURN: Learning to Track at 100 FPS with Deep Regression Networks
    • MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
    • CFNet: End-to-end representation learning for Correlation Filter based tracking
    • Multi Object Tracking
  • Classification

  • Anormaly Detection

  • Feature Representation

    • Learning Features by Watching Objects Move

Engineering Algorithms

  • Data Collection Pipeline
  • Image Retrieve
    • Billion-scale similarity search with GPUs
  • Structuring
  • Portrait
  • Recommendation
  • SLAM
    • Unsupervised Learning of Depth and Ego-Motion from Video
  • Knowledge Graph
    • Collaborative Knowledge Base Embedding for Recommender Systems
    • Neural Generative Question Answering

Optimalization Algorithms

  • Param Optimize
    • SGD
    • Momentum
    • Nesterov
    • AdaGrad
    • AdaDelta
    • RMSprop
    • Adam
  • Auto Hyper-Params
    • Hyperopt: a Python library for model selection and hyperparameter optimization
    • A Strategy for Ranking Optimization Methods using Multiple Criteria
    • Optimizing Deep Learning Hyper-Parameters Through an Evolutionary Algorithm
    • Preliminary Evaluation of Hyperopt Algorithms on HPOLib
  • Distributed
    • Caffe2
    • MXNet

Traditional Shallow Learning Algorithms

  • Regression
  • Clustering
  • Decision Trees/Rules
  • KNN
  • PCA
  • Random Forests
  • Boosting
  • Visualization
  • Statistics
  • Time Series/Sequence Analyze
  • Anormaly Deteection
  • Text Mining

Owner

  • Name: ataraxialab
  • Login: ataraxialab
  • Kind: organization

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