fusion-research Goto Github PK

context-aware-crowd-counting

Official Code for Context-Aware Crowd Counting. CVPR 2019

contextily

Context geo-tiles in Python

contextlabeler-dataset

contrastive_sensor_fusion

Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".

coop_t2t

Code for the Bachelor Thesis on "Track-to-Track Association and Fusion for Cooperative Automotive Environment Perception"

corenav

Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraint

corenav-gp

Slip-Based Autonomous ZUPT through Gaussian Process to Improve Proprioceptive Localization

coursera-gans-deeplearning.ai

Generative Adversarial Networks course made by Andrew Ng's deeplearning.ai

coursera-tensorflow-data-and-deployment-specialization

Coursera's TensorFlow Data and Deployment course files.

covariance-intersection-and-em-gmm-code

easy and short implementations of the thing in the title

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

crime-analysis

Association Rule Mining from Spatial Data for Crime Analysis

cs690v-visual-analytics

VAST Challenge 2014

csa-streetmap

Urban logistics network simulation in Python w/ SimPy, OSMnx & Leaflet.js

cscluster

simulation codes for paper " Transmission Efficient Clustering Method for Wireless Sensor Networks using Compressive Sensing"

customer-churn-analysis

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

customer-segmentation-and-association-rule-mining--instacart

Used PCA to perform customer segmentation and identified target and ideal clusters. Implemented association rule mining and built a recommendation engine to suggest items to customers

cvdd-pytorch

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

cvnd_localization_exercises

Notebooks for learning about object motion and localization methods in the last section of CVND.

cvrl

code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"

cyclegt

code of CycleGT

d4g_bcgo_engagement

Contains the scripts use the Engagement Analyses (e.g., Alluvial Diagrams, Churn Analysis)

dagnet

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

daily-paper-visual-tracking

记录每天整理的视觉目标跟踪论文

data-fusion

datadrivencognitiveontology

datadrivenontology

a method for the synthesis of an ontology from linked data

datascience-useful-pdf

Useful PDF Related to Python,Stats,ML,Deep Learning and interview questions