Pinned Repositories
BigHOST
BigHOST is an autograding system that is developed to evaluate Big Data Assignments. BigHOST employs a simple architecture that is scalable and provides a fair environment for executing multiple Big Data jobs in parallel. Official repository for paper "BigHOST: Automatic Grading System for Big Data Assignments", CCGridW 2023.
cDNN
Fast and Efficient Deep Learning Library in C
cifar10-pytorch
PyTorch Tutorial to train ConvNets for Image Classification.
cServe
A Minimal Multithreaded HTTP server in C
dockerNN
Deep Learning Framework as a set of Microservices using Docker Containers
GEMM
Fast Matrix Multiplication Implementation in C programming language. This matrix multiplication algorithm is similar to what Numpy uses to compute dot products.
GPT
A minimal and efficient Pytorch implementation of OpenAI's GPT (Generative Pretrained Transformer).
RegNetX
Pytorch implementation of "Designing Network Design Spaces" (CVPR 2020)
Spam-Detector2
A simple Spam Detector written in Python using Sklearn and NLP
SWIFT
Official PyTorch code for the paper "Towards Faster and Efficient Lightweight Image Super Resolution using Swin Transformers and Fourier Convolutions".
iVishalr's Repositories
iVishalr/GEMM
Fast Matrix Multiplication Implementation in C programming language. This matrix multiplication algorithm is similar to what Numpy uses to compute dot products.
iVishalr/GPT
A minimal and efficient Pytorch implementation of OpenAI's GPT (Generative Pretrained Transformer).
iVishalr/cDNN
Fast and Efficient Deep Learning Library in C
iVishalr/cifar10-pytorch
PyTorch Tutorial to train ConvNets for Image Classification.
iVishalr/dockerNN
Deep Learning Framework as a set of Microservices using Docker Containers
iVishalr/cServe
A Minimal Multithreaded HTTP server in C
iVishalr/RegNetX
Pytorch implementation of "Designing Network Design Spaces" (CVPR 2020)
iVishalr/Spam-Detector2
A simple Spam Detector written in Python using Sklearn and NLP
iVishalr/Sudoku-Game-using-Tkinter
Sudoku Game created using Tkinter library in python.
iVishalr/Image-Captioning
Implementation of Image Captioning Model using CNNs and LSTMs
iVishalr/Scene-Describer
Video Timestamp recommendation using Transfer Learning and NLP
iVishalr/Sorting-Visualizer
Simple React app for visualization of different sorting algorithms.
iVishalr/SWIFT
Official PyTorch code for the paper "Towards Faster and Efficient Lightweight Image Super Resolution using Swin Transformers and Fourier Convolutions".
iVishalr/AES-Encryption
This is a quick and simple AES Encryption implementation using C Programming Language
iVishalr/Bank-Simulation
This is a simple implementation of working of a typical bank account in Java Programming Language
iVishalr/BigHOST
BigHOST is an autograding system that is developed to evaluate Big Data Assignments. BigHOST employs a simple architecture that is scalable and provides a fair environment for executing multiple Big Data jobs in parallel. Official repository for paper "BigHOST: Automatic Grading System for Big Data Assignments", CCGridW 2023.
iVishalr/Recurrent-Networks
Implements Stacked-RNN in numpy and torch with manual forward and backward functions
iVishalr/SSML-spark-streaming-for-machine-learning
Distributed Machine Learning and Deep Learning for CIFAR10 Image Classification using Apache Spark
iVishalr/petra
Simple React website for booking hotels for both yourself and your pets.
iVishalr/bitcoin
From-scratch zero-dependency implementation of Bitcoin for educational purposes, including all of the under the hood crypto primitives such as SHA-256 and elliptic curves over finite fields math.
iVishalr/Bitcoin-Ransomware-Detection
iVishalr/Caesar-Cipher
Implementation of Caesar Cipher in C Programming Language
iVishalr/Computer-Networks-Laboratory-UE19CS255
Repository containing submission made for the course Computer Networks Laboratory.
iVishalr/Design-and-Analysis-of-Algorithms-Assignments
iVishalr/iVishalr
Root Repository
iVishalr/MNIST-PyTorch
PyTorch implementation for training a LeNet-5 like Convnet on MNIST digits
iVishalr/Multiview-3D-Reconstruction
Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.
iVishalr/petra-backend
iVishalr/Spam-Detector
This is a simple implementation of a Spam Detector using Python Programming Language
iVishalr/Tailbench
A Benchmark Suite and Evaluation Methodology for Latency-Critical Applications. CCBD Project