Pinned Repositories
AADA---LeNet
Active Learning based advarsarial Domain Adaptation -- based on LeNet. Original repo: https://github.com/erictzeng/adda.git
Algorithms-on-Graph
https://www.coursera.org/learn/algorithms-on-graphs
Blog
A simple django-based website
chat
This project focuses on the major problem faced by django web applications,i.e, real time interaction between server and the client
Competitive_Ques
DSA_Questions
Learning-Iterative-Image-Reconstruction
Implementation of Learning Iterative Image Reconstruction. Paper: http://www.ais.uni-bonn.de/behnke/papers/ijcai01.pdf
NaturalDisasterPredict
For Microsoft CodeFunDo++
Song_Recommender_System
Student-Performance-Dataset
https://www.kaggle.com/uciml/student-alcohol-consumption/home
Web_Crawler
sarthak-srivastava's Repositories
sarthak-srivastava/Competitive_Ques
DSA_Questions
sarthak-srivastava/Algorithms-on-Graph
https://www.coursera.org/learn/algorithms-on-graphs
sarthak-srivastava/Student-Performance-Dataset
https://www.kaggle.com/uciml/student-alcohol-consumption/home
sarthak-srivastava/AADA---LeNet
Active Learning based advarsarial Domain Adaptation -- based on LeNet. Original repo: https://github.com/erictzeng/adda.git
sarthak-srivastava/Blog
A simple django-based website
sarthak-srivastava/chat
This project focuses on the major problem faced by django web applications,i.e, real time interaction between server and the client
sarthak-srivastava/aiml-lab.github.io
sarthak-srivastava/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
sarthak-srivastava/cayman
Cayman is a Jekyll theme for GitHub Pages
sarthak-srivastava/clgen
Deep learning program generator
sarthak-srivastava/Communication-Systems
EEE F311
sarthak-srivastava/CUDA_WITH_PYTHON
https://courses.nvidia.com/courses/course-v1:DLI+C-AC-02+V1/about
sarthak-srivastava/CUDAsmith
A CUDA compiler fuzzer
sarthak-srivastava/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
sarthak-srivastava/DeepLabv3FineTuning
Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.
sarthak-srivastava/Denoising_Of_Images
Robert Bosch Centre for Cyber-Physical Systems
sarthak-srivastava/FourierTransform
JavaScript based fourier transform animation
sarthak-srivastava/GAN_
Projects
sarthak-srivastava/ganhacks
starter from "How to Train a GAN?" at NIPS2016
sarthak-srivastava/GrammarCNN
A CNN model for code generation.
sarthak-srivastava/Image-Similarities-using-SSIM
My first project using unstructured data. This led me to my two later project of image classifications using Deep Learning Convolutional Neural Network
sarthak-srivastava/Java-Networking
Network Stuff with Java
sarthak-srivastava/LinuxShell
Mostly Hackerrank questions :)
sarthak-srivastava/OOP_CS_F213
sarthak-srivastava/ostep-projects
Projects for an undergraduate OS course
sarthak-srivastava/Sequence-Models
https://www.coursera.org/learn/nlp-sequence-models/
sarthak-srivastava/SocketProgramming
Mainly Java and Python code for Socket Programming practice
sarthak-srivastava/TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
sarthak-srivastava/Titanic-Dataset-Analysis
Inferences drawn from Titanic Dataset dataset visualization
sarthak-srivastava/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"