Pinned Repositories
66DaysOfData
This repo contains the source code for a static webpage where you can find out answers to Machine Learning Interview questions.
Avid-Algorithms
Basic knowledge of Data Structure and Algorithms and LeetCode solution in Python & C++.
Data-and-Business-Analytics-Projects
The Spark Foundation Internship
Detector
This repo contains live ai based models with the capability to detect things like emotion, spam, image, and more.
dpgan
dpgan: Unofficial implementation of Differentially Private Generative Adversarial Network
Generating-Keywords-for-Google-Ads
Automatically generate keywords for a search engine marketing campaign using Python.
Inception-of-NLP
Deep Learning for NLP
Machine-Learning-Lab-EC792B
NLTM
Unscrambling-SOTA
This repo contains the gist, explanation, and implementation from scratch of the SOTA algorithms.
divyanshugit's Repositories
divyanshugit/Avid-Algorithms
Basic knowledge of Data Structure and Algorithms and LeetCode solution in Python & C++.
divyanshugit/Unscrambling-SOTA
This repo contains the gist, explanation, and implementation from scratch of the SOTA algorithms.
divyanshugit/66DaysOfData
This repo contains the source code for a static webpage where you can find out answers to Machine Learning Interview questions.
divyanshugit/Detector
This repo contains live ai based models with the capability to detect things like emotion, spam, image, and more.
divyanshugit/Generating-Keywords-for-Google-Ads
Automatically generate keywords for a search engine marketing campaign using Python.
divyanshugit/Kaggle-Titanic-Machine-Learning-from-Disaster
A machine learning model that predicts which passengers survived the Titanic shipwreck.
divyanshugit/ML-Algorithms-from-Scratch
divyanshugit/ai-land
divyanshugit/ailand
divyanshugit/Avid_Algorithms
divyanshugit/Character-aware-Pre-trained-Language-Model
divyanshugit/CheckList-of-ML
divyanshugit/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
divyanshugit/data-science-at-scale
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
divyanshugit/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
divyanshugit/emnlp2021-sixt
Code for EMNLP 2021 paper 'Zero-shot Cross-lingual Transfer of NMT with Multilingual Pretrained Encoders'
divyanshugit/Flasker
divyanshugit/Getting-Started-with-Docker
divyanshugit/go
The Go programming language
divyanshugit/Images-for-kaggle-Notebooks
divyanshugit/Insights-of-Python-Libraries
divyanshugit/jupyter-book
Create beautiful, publication-quality books and documents from computational content.
divyanshugit/layer5
Layer5, the service mesh company, representing every service mesh
divyanshugit/layout-parser
A Python Library for Document Layout Understanding
divyanshugit/meshery
Meshery, the service mesh management plane
divyanshugit/PySyft
A library for answering questions using data you cannot see
divyanshugit/SwiftSyft
The official Syft worker for iOS, built in Swift
divyanshugit/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
divyanshugit/web3.py
A python interface for interacting with the Ethereum blockchain and ecosystem.
divyanshugit/website
Home of the golang.org website