rastogi-sachin's repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
cdQA-annotator
⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
course-nlp
A Code-First Introduction to NLP course
cs231n.github.io
Public facing notes page
Deep-learning-with-Python
Deep learning codes and projects using Python
DeepLearning-Challenges
Codes for weekly challenges on Deep Learning by Siraj
DensePose
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
gcloud
Google Cloud tutorial and setup
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Innoplexus_sentiment_analysis_top_solutions
Winners' code for Innoplexus Sentiment Analysis Hackathon: https://datahack.analyticsvidhya.com/contest/innoplexus-online-hiring-hackathon/
interviews.ai
This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.
Learning-Object-Oriented-Python
This repository walks you through the Object Oriented Programming in python. Illustrates real world examples, working codes and going about finding a coding solution.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
SIIM-COVID19-DETECTION-KAGGLE
5th place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
springboard-program
Springboard Program
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
univariate-linear-regression
Example data science project used in Datacamp's Unit Testing for Data Science in Python course
wns_analytics_wizard_2019
Winners' solution approach and code for WNS Analytics Wizard 2019
workshops
It will have all data related to my workshops.