Ankita Jaiswal's Projects
This repo is for learning Algorithms and Open Source
Minimal examples of data structures and algorithms in Python
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Generating anime faces using DCGAN
Config files for my GitHub profile.
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
The project consists of 3 major components: Identifying the counter region, localizing and cropping the counter region, and digit recognition.
Basic knowledge of Data Structure and Algorithms and LeetCode solution in Python & C++.
Solutions to CodeChef problems in multiple languages.
A technical report on convolution arithmetic in the context of deep learning
This is a repository entirely dedicated to all kind of questions ranging from basic DSA to CP. It aims to provide a solution to different questions. 📚
C++ Data Structures and Algorithms | College Placement Course taught by renowned faculties of Apni Kaksha (Aman Dhattarwal).
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Trained a state-of-the-art-model to achieve over 90% accuracy in classifying flower images using a ResNet9 model, then used ResNet34 model which implied the use of Transform Learning technique to improve the accuracy.
A robot powered training repository :robot:
A repo for Competitive Programming and Data Structures & Algorithms problems and solutions.
java -> src file contains various programs taught by Anuj Bhaiya
Open Source Differentiable Computer Vision Library for PyTorch
This repository will help beginners kickstarting their open-source journey by completing Hacktoberfest'21 challenge || Just need to make a mini python project that can be done within an hour also || Can also add programming questions and their solutions only in Python || Make sure you add everything in the right directory || HAPPY HACKING!!!
This project consists of two functionalities: ‘select and store waypoints’ and ‘navigate waypoints’. It is more like a GUI i.e. when the functionality is called, the map pops up and the user can select waypoints using mouse clicks and the waypoints get stored in a text file. When the ‘navigate waypoints’ functionality is called the robot starts navigating on the stored waypoints.
This is an Obstacle Avoiding Robot using Reinforcement Learning/AI Algorithm used in this project: Q learning How Obstacle Avoiding Works? 1.Ultrasonic sensor is used measure distance from the obstacle using its Echo and Trig Pins. 2.When distance is measured and if its less than 20 cm then there is an obstacle nearby otherwise robot is safe and continue Forward. 3.If obstacle is detected then robot takes left or right turn depending on the situation. How AI based Obstacle Avoidance Works?(Q learning) 1.Here the 1st step from upper article remains the same.However the 2nd Step is different. 2.A list of actions of the robot are initialized first. For Example in this case actions of Robot are: Left , Forward, Backward ,Stop. 3.When the Robot comes near an obstacle it is required to perform an action. However note that in this case Robot doesn't know which action to take as its not pre-programmed and going to learn on its own to avoid obstacles. 4.When Robot stops when there is an obstacle in front of it then it gets reward as 0 When Robot stops and goes backward it receives reward of -5 When Robot continues to move forward ignoring the obstacles it receives reward of -10 When Robot just moves left as soon as obstacle is detected it gets reward of +10 5.In this way Robot learns on its own to avoid obstacles by Reward Mechanism.
This backend application has been build to take entries from budding entrepreneurs who wish to pitch ideas for a business or product they wish to develop by uploading their ideas and the potential investors can retrieve the list of all pitches and share their feedback/comments with a counter offer as per their interests.
This is basically a clustering algorithm that uses the point cloud data from a 2D lidar to count the number of clusters, the number of points in each cluster and determines the vacant areas through which the robot can move or pass.
International research opportunities for Summer 2022
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.