shashanksharad

AccordiLytics

A simple windows based software to perform exploratory data analysis, dimensionality reduction and predictive modeling. This software enables users to generate & visualize feature statistics, class distributions, feature cross-plots, correlations, principal components and confusion matirx.

Black-Gold-through-History-Exploratory-Data-Analysis

This work explores the hydrocarbon discoveries in different parts of the world. Dive in to watch seaborn, folium and Basemap create visual awesomeness.

folium-genus-conv-nets

A Convolutional Neural Networks Approach to the Leaves Classification Problem

Multivariate-Time-Series-Forecasting-Appliance-Energy-Consumption

Multivariate-Time-Series-Forecasting-Appliance-Energy-Consumption

AutoCropCollage

A python package to split image collages. This step is crucial while creating training dataset for image based machine learning projects.

Pytorch-Satellite-Imagery-Segmentation

This project demonstrates how to use pytorch to perform semantic segmentation of satellite imagery.

Autoencoders_TimeSeriesAnomalyDetection

Time series anomaly detection using auto-encoder neural network architecture

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

folium-genus

Neural Network from Scratch for Leaves' Classification

principal-components-of-my-cereals-

Linear Transformation aided Dimensionality Reduction

shashanksharad/interpret

Fit interpretable models. Explain blackbox machine learning.

shashanksharad/tweetsweet1

Frontend React App for TweetSweet Project

shashanksharad/ShopifySS

shashanksharad/cs231n

Solutions to Stanford CS231n Spring 2018 Course Assignments.

shashanksharad/pytorch-cifar

95.47% on CIFAR10 with PyTorch

shashanksharad/SS_IC_SOL

shashanksharad/pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

shashanksharad/Black-Gold-through-History-Exploratory-Data-Analysis

This work explores the hydrocarbon discoveries in different parts of the world. Dive in to watch seaborn, folium and Basemap create visual awesomeness.

shashanksharad/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

shashanksharad/cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

shashanksharad/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

shashanksharad/TwitterToxicityProfiler

A React-D3 App to analyse a user's twitter handle for toxicity

shashanksharad/NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

shashanksharad/design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

shashanksharad/Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

shashanksharad/Summer2022-Internships

Collection of Summer 2022 tech internships!

shashanksharad/LightAutoML

LAMA - automatic model creation framework

shashanksharad/awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

shashanksharad/GNNPapers

Must-read papers on graph neural networks (GNN)

shashanksharad/bert

TensorFlow code and pre-trained models for BERT

shashanksharad/ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

shashanksharad/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

shashanksharad/text_classification

all kinds of text classification models and more with deep learning

shashanksharad/hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

shashanksharad/pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

shashanksharad/cpp-cheatsheet

Modern C++ Cheatsheet

shashanksharad/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

shashanksharad/d3data

shashanksharad/eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

shashanksharad/Text_Classification-1

Text Classification Algorithms: A Survey