iamanshika Goto Github PK

2020-cs109a

a-visual-history-of-nobel-prize-winners

ai5-perception.ai

Perception.AI is a text-to-image project, in which Attention GAN has been implemented. It takes in image caption as an input, and the GAN model generates a corresponding image. The model has been trained on CUB dataset, and thus is limited to generating bird images as of now. In the future, the project has a wider scope of having a generalized version, where the model will generate images of entities across the world.

astromer-weights

ASTROMER pre-trained weights

basicpython

Basic Python part of Python Preparator Bootcamp

cat_and_dog-classifier

Cat v/s Dog classifier using transfer learning with MobileNet

classification

Part 2b of Machine Learning Code-First Basics

cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

cyclegans-for-ukiyo-e-art

dataandbases

dr.-semmelweis-and-the-discovery-of-handwashing

In 1847, the Hungarian physician Ignaz Semmelweis made a breakthough discovery: he discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.

face-identification-and-recognition

Face detection and recognition system implementation with HOG (Histogram of Oriented Gradients) based feature extraction.

faulty-machine-data-analysis

github-history-of-scala

Intermediate Data Science Project

halfdayhacking

higgs-boson-ml

The discovery of Higgs particle was announced on 4th July 2012. In 2013, Nobel Prize was conferred upon two scientists, Francois Englert and Peter Higgs for their contribution towards its discovery. A characteristic property of Higgs Boson is its decay into other particles through different processes. At the ATLAS detector at CERN, very high energy protons are accelerated in a circular trajectory in both directions thus colliding with themselves and resulting in hundreds of particles per second. The goal of the Challenge is to improve the classification procedure that produces the selection region. We have used Random Forest Classifiers and experimented with VIME.

homework

Homework involving some statistics

homework-1

iamanshika

Config files for my GitHub profile.

image-captioning

Deep Learning project in which the neural network will automatically generate captions from images.

learningamodel

Part 1b of Machine Learning code-First Basics

localhackday

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mlops-3

mlopstask1

numericalpython

Numerical Python Part of Python Preparator Bootcamp

predicting-credit-card-approvals

I have built an automatic credit card approval predictor using machine learning techniques, just like the real banks do. This is a guided project under one of the courses that I took online.

python-library

Python library including the stable ASTROMER

regression

Part 1a of Machine Learning Code-First Basics