manasbichoo Goto Github PK
Name: Manas Bichoo
Type: User
Company: scool.in
Bio: Data Maverick
Location: Indore, India
Blog: www.manasbichoo.ml
Name: Manas Bichoo
Type: User
Company: scool.in
Bio: Data Maverick
Location: Indore, India
Blog: www.manasbichoo.ml
ALS algorithm recommender system
Chatbot made on python
Blog Web App using Python, Flask.
This is a book recommender system used to recommend top N books to the user using KNN Algorithm.
Initial under dev clg project
Computer Vision
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
Predict Covid-19 using chest x-ray scan
All the deep learning projects
The fastai deep learning library, plus lessons and tutorials
Simple boilerplate for ChatterBot using Flask
Scrapes g4g and creates PDF
Building and Embedding Machine Learning Model into a Web App(With Flask,etc)
My Personal Website
This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube
A python Django MCQ Web App
NLP Projects
Web Application to demonstrate NLP, made using Flask.
All Algorithms implemented in Python
:snake: Python Programs
A recommender system on APACHE SPARK
Building an AI to play Rock Paper Scissor using Neural Networks
We used NLP(Natural Language Processing) to solve this problem. We used character embedding (chars2vec model) to generate vectorized words and plotted them on vector space to map the closest and semantically similar words together using cosine similarity as the metric. We used a pre trained NLP model called as chars2vec for this purpose. Having the character embedding, every single word’s vector can be formed even it is out-of-vocabulary words. This model is a CNN which performs the character embedding. The step by step solution for this problem statement is: Import the chars2vec model for character embedding. Import the text file and read the words stored in it. Make a array(list) of words of the file. Vectorize all the words of that file by chars2vec model’s vectorize method. Train the chars2vec model with training set as the list of vectorized words. Take an input word from the user. Vectorize the input word using chars2vec vectorize method. Find the cosine similarity of that input word with every other word from the text file’s list of words. The word with the highest cosine similarity is the output. Return the word with the highest cosine similarity which is the correct spelling of the misspelled word.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.