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Name: Amit Kayal
Type: User
Company: Its me
Name: Amit Kayal
Type: User
Company: Its me
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
100 Days of ML Coding
Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
We will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines! Text summarization is an NLP(Natural Language Processing) task. SBERT(Sentence-BERT) has been used to achieve the same.
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Attention Is All You Need | a PyTorch Tutorial to Machine Translation
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Curated list of resources for college students
Add Christmas hat on one's head based on OpneCV and Dlib
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Advanced Deep Learning with Keras, published by Packt
Contains materials for workshops pertaining to adversarial robustness in deep learning.
Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision models
Detecting A Person's Age In A Photo
Loan-level analysis of Fannie Mae and Freddie Mac data
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
This is the code for "How to Do Freelance AI Programming" By Siraj Raval on Youtube
Github repo to upload demo files of youtube videos and linkedin
Code and associated files for the AI Programming with Python Nanodegree Program
Data collection for Airbnb listings.
This repository contains self learning details on Deep Learning and CNN
Augmentations usage examples for albumentations library
Alphabet recognition using EMNIST dataset.
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.