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Name: mh iyer
Type: User
Bio: I consider myself an eternal student- I love to learn. I am interested in logic and reasoning and its relationship with Machine Learning. Have a blessed day.
Name: mh iyer
Type: User
Bio: I consider myself an eternal student- I love to learn. I am interested in logic and reasoning and its relationship with Machine Learning. Have a blessed day.
Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)
Car Recognition with Deep Learning
Convert COCO annotations to xml format
Get the list of COCO categories present in the train and val images
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
Portfolio Project
Decision Trees Implementation using Python3
SOTA Re-identification Methods and Toolbox
Visualize data with the Python version of ggplot!
Copilot assisted algorithms and heuristics
Observe the supercategory for each ImageNet category
Develop instance based learning models using Python3
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Linear Regression using gradient descent in Python3
Linear Regression Programming Exercise - from Andrew Ng's 'Machine Learning' Coursera course - written in Python
Logistic Regression using Python3 - specifically using scipy's optimization modules to obtain the parameters.
Given Singapore postal codes, map them to one of five regions - North, South, East, West and North-East
About Me - Mithila Harish
Mish Deep Learning Activation Function for PyTorch / FastAI
About Me - Mithila Harish
Helper codes for machine learning problems. Written in Python3
Perceptron learning algorithm in Python3
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
Pytorch implementation of RetinaNet object detection.
Different ways to sample a pandas dataframe using Python3
Analyse Seattle Airbnb data.
Shuffle a pandas dataframe without much fuss
A simple encoder neural network- created using Keras- to convert an 8 bit representation to 3 bit.
Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset
Packaged TResNet based on Official PyTorch Implementation
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.