Jatin Ahuja's Projects
A to Z Resources for students as well as working proffessionals
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome computer vision resources
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
It's just a chat-bot
This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .
image-clf
Implementation of a convolutional neural network in keras to do a 10 class classification on CIFAR-10 dataset
This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)
Some Awesome Projects Implemented in Python :coffee: :computer: :snake:
This repository contains some basic data analysis projects
A curated list of data science blogs
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.
Implementation of face verification and face recognition system. Most of the work i did in this notebook was inspired by FaceNet paper(https://arxiv.org/abs/1503.03832) . It was also an assignment of deep learning specialization in coursera.
this repository accompanies my forthcoming book "Grokking Deep Learning"
⚡ Building applications with LLMs through composability ⚡
Implementation of pygame library to create a game (Memory Puzzle).
A collection of video resources for machine learning
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
In this notebook, I've implement a model that uses an LSTM to generate music.
This is a sample repo
This notebook contains the code for a neural network implemented using tensorflow to classify the MNIST dataset.
Simple PyTorch Tutorials Zero to ALL!
Neural question generation using transformers
This repo contains random ml task or implementation of some machine learning projects
A reasonable lyric generator, using GANs