JEEVANSHI SHARMA's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100DaysOfMLCode-1
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
ANZEN
Fake Profile Detecting Platform!
awesome-dl4nlp
A curated list of awesome Deep Learning for Natural Language Processing resources
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Brihaspati
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Cheat-Sheets
Data Science Cheatsheets
Denoising-Autoencoder-cifar-10
Implemented a denoising a denoising algorithm on cifar-10 dataset
goodreads_etl_pipeline
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
GRE_PREP
This is a guide for how one can prepare for GRE within a month's duration.
HRERE
Heterogeneous Representations for Neural Relation Extraction https://arxiv.org/abs/1903.10126
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
nlp-python-deep-learning
NLP in Python with Deep Learning
open-event-server
The Open Event Organizer Server to Manage Events https://api.eventyay.com | http://open-event-api.herokuapp.com
practical-statistics-for-data-scientists
Code repository for O'Reilly book
pytextrank
Python implementation of TextRank for text document NLP parsing and summarization
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
socialforce
Numpy implementation of the Social Force model.
Text_Summarizer
This is a text summarizer, building in python using keras.
The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
TopDeepLearning
A list of popular github projects related to deep learning
v4
Fourth iteration of my personal website
whattodo
I'm a part of AMU OSS. What now, what to do? Well, this document answers it all!