Yash-Varshney
CommunityBridge Mentee @spdx | Experiment. Fail. Learn. Repeat.
Indian Institute of Technology, MandiMandi
Pinned Repositories
dffml
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
DCGANs
This project is done by me in which I implemented Deep Convolution Generative Adversarial Networks to generate new synthetic images using Fashion MNIST dataset. I used keras to implement it and the approach used in the code is based on the research paper "Unsupervised Representation Learning with Deep Convolution Generative Adversarial Networks".
deeplearningprojects
These projects are the part of `Tensorflow-in-practice` specializations or MIT 6.S191 course. I have completely done the specializations (with certificates).
dffml
The easiest way to use Machine Learning
H20-AutoML
This is the project done by me in which I used H20's autoML library which does automatic selection of best model and hyper-paramater tuning. The data I used was a business data (binary classification problem).
tools-python
A Python library to parse, validate and create SPDX documents.
Yash-Varshney's Repositories
Yash-Varshney/deeplearningprojects
These projects are the part of `Tensorflow-in-practice` specializations or MIT 6.S191 course. I have completely done the specializations (with certificates).
Yash-Varshney/DCGANs
This project is done by me in which I implemented Deep Convolution Generative Adversarial Networks to generate new synthetic images using Fashion MNIST dataset. I used keras to implement it and the approach used in the code is based on the research paper "Unsupervised Representation Learning with Deep Convolution Generative Adversarial Networks".
Yash-Varshney/dffml
The easiest way to use Machine Learning
Yash-Varshney/H20-AutoML
This is the project done by me in which I used H20's autoML library which does automatic selection of best model and hyper-paramater tuning. The data I used was a business data (binary classification problem).
Yash-Varshney/tools-python
A Python library to parse, validate and create SPDX documents.
Yash-Varshney/aboutcode
AboutCode project: tools and data to uncover things about code: the provenance, origin, license, and more (packages, security, quality, etc.) of FOSS code
Yash-Varshney/datasets
TFDS is a collection of datasets ready to use with TensorFlow
Yash-Varshney/dlaicourse
Notebooks for learning deep learning
Yash-Varshney/ehpi_action_recognition
Simple yet efficient real-time pose based action recognition
Yash-Varshney/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
Yash-Varshney/hello-world
'hello world'.....where it all starts....
Yash-Varshney/nobos_commons
Yash-Varshney/nobos_dataset_manager
Yash-Varshney/opencv
Open Source Computer Vision Library
Yash-Varshney/Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
Yash-Varshney/rust
Empowering everyone to build reliable and efficient software.
Yash-Varshney/scancode-toolkit
:mag_right: ScanCode detects licenses, copyrights, package manifests & dependencies and more by scanning code ... to discover and inventory open source and third-party packages used in your code.
Yash-Varshney/spdx-online-tools
Source for the website providing online SPDX tools
Yash-Varshney/spdx-spec
The SPDX specification in MarkDown and HTML formats.
Yash-Varshney/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Yash-Varshney/tensorflow
An Open Source Machine Learning Framework for Everyone
Yash-Varshney/the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
Yash-Varshney/tools
SPDX Tools
Yash-Varshney/Utilities
A collection of python scripts that may come in handy in everyday life at IIT Mandi