varun-projects Goto Github PK

python-mlops-cookbook

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

python-programming-master-course

Code repository for Coding Minutes Python Programming Master course.

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

racpit

Code and additional information to our paper "RACPIT: Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation"

radar-rgb-attentive-multimodal-object-detection

Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046

radar-robotcar-dataset-sdk

Additional Helpers for the Oxford Radar RobotCar Dataset https://ori.ox.ac.uk/datasets/radar-robotcar-dataset

radar-to-lidar-place-recognition

Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning

radar_depth

Source code of the IROS 2020 paper "Depth Estimation from Monocular Images and Sparse Radar Data"

reinforcementlearningcabprofit

rl-on-sumo

Demos of reinforcement learning on Simulation of Urban MObility

rodnet

RODNet: Radar object detection network

ros_course_part2

This is the repository of the Udemy course on navigation

rrest

Algorithms to estimate respiratory rate from physiological signals

rrpn

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

sarcasm_detection_keras_r

second.pytorch

SECOND for KITTI/NuScenes object detection

sed-crnn

Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection winning method.

seld-net

Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

simplefmcwradar

A simple, low-power, low-cost 5.8-6.0 GHz microwave FMCW radar

skillful_nowcasting

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

smart-battery-management-system-stm

Using machine learning to estimate the state of charge of lithium ion batteries for electric vehicles

smart-traffic-signals-in-india-using-deep-reinforcement-learning-and-advanced-computer-vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

snap_to_road_to_csv

This Javascript work automates the process to get coordinates record by a vehicular GPS recorded to appear on the road and save it to a csv file. The project uses the google snap to road api service. For more information about the process please refer to the URL: https://developers.google.com/maps/documentation/roads/snap

spect_analysis_code

Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.

stone-soup-tracking

A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.

streambwa

sumo

sumo-veins-intersection

Creating a simple intersection with SUMO and integrate it with Veins

sumo_omnet_veins_slackware

SUMO + OMNeT + Veins to Slackware x64

supervised-machine-learning

Approximation and Classification example problems solved utilizing MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) Neural Networks.