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albumentations

fast image augmentation library and easy to use wrapper around other libraries

algotithms-and-data-structures

This repository holds any programming that I have done (on or after 2nd July 2018) for practicing/learning Computer Science fundamentals, especially, Data Structures and Algorithms. This includes Algorithms' and Data Structures' implementations as well as the solutions of programming/coding questions/contests hosted on competitive programming websites.

cifar-10-cnn-classifier

This repository holds one of my first projects in Deep Learning. The intent behind doing this project was learning the practical subtleties behind implementing a Deep Learning model, training and evaluating it, and finally tuning it's hyper-parameters in an iterative manner. The actual model is an AlexNet based CNN trained on the CIFAR-10 data set.

clrs

:notebook:Solutions to Introduction to Algorithms

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

ctf-concetto2k18

deep-point

Will be updated soon.

fastai

The fastai deep learning library, plus lessons and and tutorials

great_expectations

Always know what to expect from your data.

hackfestgit

intel-scene-classification

Intel Scene Classification - Code for AnalyticVidhya's machine learning competition. The competition is about classifying an input image into one of six unique scenes or categories.

my-first-repository

First Rep des

nlu

nn_playground

Experimental Keras implementation of novel neural network structures.

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

scratchnet

This repository holds one of my first Deep Learning projects. The project implements an MNIST classifying fully-connected neural network from scratch (in python) using only NumPy for numeric computations. For further information, please see README.

web

public webpage