Rahil Vijay's repositories

Face-Generator

Defined and trained a DCGAN model on a dataset of faces. The goal was to get a generator network to generate new images of fake human faces that look as realistic as possible.

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CycleGAN-in-Pytorch

Designed a CycleGAN model for image-to-image translation from unpaired training dataset using an unsupervised approach. The objective was to train generators that learn to transform an image from domain X into an image that looks like it came from domain Y (and vice versa).

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Navigation

Implemented Deep Q-Network(DQN) and its different variants in different environments.

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pytorch-groupnorm

Group Normalization in PyTorch

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Collaboration_and_Competition

Implemented Multi Agent Deep Deterministic Policy Gradient(MADDPG) algorithm to solve the Unity Tennis environment.

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Continous-Control

Implemented Deep Deterministic Policy Gradient(DDPG) algorithm to solve the Unity Reacher version-2 environment.

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Script-Generator

Built an RNN model to generate your own TV scripts. The model is trained on dataset from Seinfeld TV scripts from 9 seasons. The neural network developed can be used to generate a new, "fake" TV script.

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ANN-Implementation-From-Scratch

Built a Artificial Neural Network architecture from scratch to predict daily bike rental ridership.

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Banking-Management-System

The project aims to develop a password protected administrative access banking management system that is user-friendly and multi-functional with system calls, file locking, process management and socket programming.

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CNN_Implementations

CNN Implementations from scratch and using Pytorch on CIFAR-10 dataset.

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Dog-Identification-App

Developed an algorithm that could be used as part of a mobile or web app. The project accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

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Face-and-Gender-Recognition

Face and gender recognition from facial features using various methods like eigen-faces ,PCA then SVM. Learnt about the various preprocessing methods ,like use of dlib library and haarcascasding.

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Ping-pong-

A GUI based game in which two players hit a little, light ball back and forth across a table using a small paddle.Built using an open source python programming language library called pygame.

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Policy-Based-Methods

Implemented few of the policy based black box optimization techniques in Pytorch.

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Predicting-wine-quality-using-scikit-learn

Builded a model which will help in classifying the wines with different composition to different genre of people.Project help you master the workflow of model building.

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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Taxi-Aggregator-Master

Developed a Java based project that stimulates Online Taxi hiring service on small scale .

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Teacher-Student-Network

Built a Teacher-Student Network on CIFAR-100 dataset using Pytorch.

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Zomato-Restaurant-Rating

Designed a model that help in predicting the rating of restaurants from different countries based on different features.Learnt about the importance of data handling.

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