shivaditya-meduri Goto Github PK
Name: Shivaditya Meduri
Type: User
Company: ESSEC - CentraleSupélec
Bio: MSc in Data Science (2020-2022)
Location: Paris
Name: Shivaditya Meduri
Type: User
Company: ESSEC - CentraleSupélec
Bio: MSc in Data Science (2020-2022)
Location: Paris
A resource repository for 3D machine learning
I am trying to describe complex matters in simple doodles!
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.
Numerical Black-Box Optimization Benchmarking Framework
Loan default prediction model using extreme gradient boosting methods for lending club data.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Notebooks for learning deep learning
TensorFlow documentation
An implementation of Decision tree classifier and regressor Machine Learning model. Also additional ensemble methods including Random Forest and Gradient Boosting are implemented.
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations - Source Code
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
All the notebooks I made to solve Kaggle challenges
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
:spider_web: input/output for many mesh formats
CPP file
Python implementation of CMA-ES
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Machine learning in Python with scikit-learn MOOC
An Open Source Machine Learning Framework for Everyone
Tesseract Open Source OCR Engine (main repository)
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.