Vatsal Srivastava (vatsl)

vatsl

Geek Repo

Company:https://www.linkedin.com/in/vatsal410/

Location:Atlanta, USA

Home Page:https://sites.google.com/view/vatsalbits/

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Vatsal Srivastava's repositories

TrafficLight_Detection-TensorFlowAPI

Traffic Light Detection and Classification using TensorFlow Object Detection API

ParticleFilter

An implementation of the Particle Filter using C++ for the purposes of localization.

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CarND-MPC-Project

Implementation of Model Predictive Control to autonomously navigate a vehicle.

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AutonomousDriving

A few projects towards gaining knowledge of developing autonomous vehicles using Computer Vision and Deep Learning.

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CarND-Path-Planning

Build a path planner that creates smooth and safe trajectories for the car to follow.

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DeepLearning-ND101

Projects to learn the concepts of Deep Learning like CNN, RNN, LSTM, GAN, etc.

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CarND-PID-Control-Project

Determining the steering angle of an autonomous vehicle using the concepts of PID controllers.

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Speech-Recognition-with-Neural-Networks

An end-to-end automatic speech recognition (ASR) pipeline with a deep neural network. The pipeline accepts raw audio as input and return a predicted transcription of the spoken language.

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awesome-deep-learning-papers

The most cited deep learning papers

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CarND-Semantic-Segmentation

In this project, we label the pixels of a road in images using a Fully Convolutional Network (FCN).

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coldknight.github.io

Build a Jekyll blog in minutes, without touching the command line.

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DeepBench

Benchmarking Deep Learning operations on different hardware

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ExtendedKalmanFilter

An implementation of Extended Kalman Filter for pedestrian detection using Lidar and Radar data.

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hornet

Hornet data structure for sparse dynamic graphs and matrices

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intro-to-kubernetes

Introduction to Kubernetes

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Isolation-GamePlaying

Building a game playing AI agent to win at the game of Go.

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jenkins-pipeline-tutorial

Jenkins Pipeline Tutorial

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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MIT60001

Code for assignments of MIT's 6.0001 - Introduction to Computer Science and Programming in Python

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Planning-Search

Define a group of problems in classical PDDL (Planning Domain Definition Language) for the air cargo domain. Set up the problems for search, experiment with various automatically generated heuristics, including planning graph heuristics, to solve the problems.

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SignLanguageRecognizer

Build a system that can recognize words communicated using the American Sign Language (ASL) using a preprocessed dataset of tracked hand and nose positions extracted from video. The goal is to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.

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SnapSudoku

Extract and solve Sudoku from an image

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songPopularity

An app to scrape the Rammstein's song's translation requests and gauge their popularity from it.

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spinnaker-study

Simple Quarkus Microservice for CI/CD Demo

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SudokuSolver

Learn the basic techniques in Artificial Intelligence like Search and Constraint Propagation by creating a program to solve a Sudoku problem.

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system-design-primer

Learn how to design large scale systems. Prep for the system design interview.

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