ajinkyat Goto Github PK
Name: Ajinkya
Type: User
Bio: Machine Learning/AI Engineer, who likes to eat and talk to people.
Location: Tokyo
Name: Ajinkya
Type: User
Bio: Machine Learning/AI Engineer, who likes to eat and talk to people.
Location: Tokyo
Demo for farmers assistant built using agentic workflow for Agrisure Hackathon organised by Hack2Skill..
Personal Blog
Analytics Vidhya Machine Learning Competition Churn Prediction.
2nd place solution for AV student hunt time series forecasting problem statement
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
A curated list of awesome R packages, frameworks and software.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Forged signature verification using Siamese Convolutional Neural Network, and table extraction from PDF's
A GenAI based customer service bot.
Bachelors Thesis on Machine Learning applications in healthcare domain
scikit-learn-compatible estimators from Civis Analytics
CNN for intent classification task in a Chatbot
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
Programming assignments completed in Coursera's Convolutional Neural Networks course.
Programming assignments completed in Coursera's Sequence Models course.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Work done during internship at Rorodata. Bio-Medical image diagnosis using Deep learning and Computer Vision.
Final Projects for DA5030 Data Mining and Machine Learning. Predict cervical cancer diagnosis based on demographics, behavioral information, and medical records.
General Assembly's Data Science course in Washington, DC
Repository to hold general information and about the data-analytics competition. The code repository will be open sourced after the competition is over
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
Cheat codes for data science competitions!
datahack solution approach
The Leek group guide to data sharing
This repository contains scripts shared during Deep Learning Challenge #1.
Deep Learning and Entity Embeddings to predict driving behaviour and cluster accident hotspots
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.