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followers: 15.0 following: 8.0 repos: 36.0 gists: 0.0

Name: Aditya Srichandan

Type: User

Company: University of Toronto

Bio: Happy to learn anything new and usefull!!

Location: Toronto

Blog: https://medium.com/@adityasrichandan3098

Aditya Srichandan's Projects

2d-feature-tracking-cv

Udacity, Sensor Fusion, Project of SFND_2D_Feature_Tracking

3d-computer-vision-pseudolidar

unofficial implementation of Tesla's Pseudo-Lidar for 3D depth estimation.

3d-lidar-camera_ttc

Time to collision estimation Using YoloV3 and Projecting Lidar point clouds to 2d image for vehicle tracking

ai-chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

book-store-app

Book Store Application is written in java ,which let you to see number of books available in Book store

buildoryx-client

BuildoryX : an E-learning platform. Project based courses for all levels of audience, created by Adi!

buildoryx-server

Backend for BuildoryX using React, Node and NginX for deployment.

csc2231h

MLAE - Machine Learning Accelerator At the Edge

ece1718_cuda

We build a Transformer from the ground up!

funnycricketgame

IND vs AUS : a simple probability game using JavaFX & Scenebuilder

hatedi-recognition-realtime-system

Touch interface-STM3F429I-D (CubeMX-AI)based handwritten digit and text recognizer using Deep Learning

heroku-disaster-message-classifier

This repo contains the Heroku deployment part of the of NLP-Disaster-message-classifier-app Repository...

lidar-obstacle-detection-pcl

Lidar point cloud segmentation and obstacle detection using RANSAC, KD-tree clustering and PCL library.

lidar-radar-unscented-kalman-filter

A surrounding vehicle tracking system implementation which fuses Lidar and Radar sensor data considering CRTV (constant rate velocity model) and predicts vehicle velocity and its likely future path.

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

nlp

NLP projects using Spacy, nltk, and Deep learning techniques

nlp-disaster-response-application

Analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages. Data set containing real messages that were sent during disaster events, and create a machine learning with NLP pipeline to categorize these events so that one can send the messages to an appropriate disaster relief agency. The project includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app also display visualizations of the data.

panpharmacon

Collaborattive robots for assistance during disaster (Access Denied Hackathon VIT'19 winner)

playground

Java Full Stack Program

police_shootings_eda

The FBI and the Centers for Disease Control and Prevention log fatal shootings by police, but officials acknowledge that their data is incomplete. In 2015, The Post documented more than two times more fatal shootings by police than had been recorded by the FBI. Last year, the FBI announced plans to overhaul how it tracks fatal police encounters.

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Aditya Srichandan's Projects

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