pratap-is-here
ML Engineer @ShareChat | Ex-intern @Xiaomi (CoE India Team), Nvidia Research | Ex-educator @Unacademy | IIIT Gwalior
Pinned Repositories
Autoencoder-using-tensorflow
In this project, I created a powerful vanilla encoder using tensorflow.
Deep-Learning-Art-Neural-Style-Transfer
In this project, we will: Implement the neural style transfer algorithm Generate novel artistic images using your algorithm
DS_projects
Data-driven projects repo
Face-Recognition-for-the-Happy-House
Here you will build a face recognition system. In this project, we will: Implement the triplet loss function Use a pretrained model to map face images into 128-dimensional encodings Use these encodings to perform face verification and face recognition
income-predictor-end-to-end
In this project, a machine learning model for predicting income is developed. Deployment is done using Flask API and Heroku.
Neural-Machine-Translation
You will build a Neural Machine Translation (NMT) model to translate human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25"). You will do this using an attention model, one of the most sophisticated sequence to sequence models. This notebook was produced together with NVIDIA's Deep Learning Institute.
porter-stemmer
python implementation of Porter's stemming algorithm
Stacking-tutorial-titanic-dataset-
This notebook is a part of the article i wrote on stacking.
Trigger-Word-Detection
In this assignment you will learn to: Structure a speech recognition project Synthesize and process audio recordings to create train/dev datasets Train a trigger word detection model and make predictions
Whitening-with-PCA-tutorial
This notebook is a part of the tutorial I wrote about whitening with PCA
pratap-is-here's Repositories
pratap-is-here/Face-Recognition-for-the-Happy-House
Here you will build a face recognition system. In this project, we will: Implement the triplet loss function Use a pretrained model to map face images into 128-dimensional encodings Use these encodings to perform face verification and face recognition
pratap-is-here/Deep-Learning-Art-Neural-Style-Transfer
In this project, we will: Implement the neural style transfer algorithm Generate novel artistic images using your algorithm
pratap-is-here/Neural-Machine-Translation
You will build a Neural Machine Translation (NMT) model to translate human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25"). You will do this using an attention model, one of the most sophisticated sequence to sequence models. This notebook was produced together with NVIDIA's Deep Learning Institute.
pratap-is-here/porter-stemmer
python implementation of Porter's stemming algorithm
pratap-is-here/Trigger-Word-Detection
In this assignment you will learn to: Structure a speech recognition project Synthesize and process audio recordings to create train/dev datasets Train a trigger word detection model and make predictions
pratap-is-here/Whitening-with-PCA-tutorial
This notebook is a part of the tutorial I wrote about whitening with PCA
pratap-is-here/Autoencoder-using-tensorflow
In this project, I created a powerful vanilla encoder using tensorflow.
pratap-is-here/DS_projects
Data-driven projects repo
pratap-is-here/income-predictor-end-to-end
In this project, a machine learning model for predicting income is developed. Deployment is done using Flask API and Heroku.
pratap-is-here/Stacking-tutorial-titanic-dataset-
This notebook is a part of the article i wrote on stacking.
pratap-is-here/Autonomous-driving---Car-detection
You will learn about object detection using the very powerful YOLO model.
pratap-is-here/Building-your-Recurrent-Neural-Network---Step-by-Step
In this project, we will implement your first Recurrent Neural Network in numpy.
pratap-is-here/Character-level-language-model---Dinosaurus-land
Welcome to Dinosaurus Island! 65 million years ago, dinosaurs existed, and in this assignment they are back. You are in charge of a special task. Leading biology researchers are creating new breeds of dinosaurs and bringing them to life on earth, and your job is to give names to these dinosaurs. If a dinosaur does not like its name, it might go beserk, so choose wisely!
pratap-is-here/Convolutional-Neural-Networks-Application
In this notebook, we : Implemented helper functions that we used when implementing a TensorFlow model Implement a fully functioning ConvNet using TensorFlow
pratap-is-here/Convolutional-Neural-Networks-Step-by-Step
In this project, we implemented convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and backward propagation.
pratap-is-here/data.table
R's data.table package extends data.frame:
pratap-is-here/DeepLearning.ai-Summary
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.
pratap-is-here/Emojify-
You are going to use word vector representations to build an Emojifier.
pratap-is-here/Enron_fraud_identifier
In this project, I played detective, and put my machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email data set.
pratap-is-here/Improvise-a-Jazz-Solo-with-an-LSTM-Network
Here I learned to: Apply an LSTM to music generation. Generate your own jazz music with deep learning.
pratap-is-here/internships
A collection of internship applications for the summer of 2020
pratap-is-here/Keras-tutorial---the-Happy-House
In this assignment, you will: Learn to use Keras, a high-level neural networks API (programming framework), written in Python and capable of running on top of several lower-level frameworks including TensorFlow and CNTK. See how you can in a couple of hours build a deep learning algorithm.
pratap-is-here/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
pratap-is-here/movie-recommendation-system
In this project, i built a movie recommendation model and then formed it's API. I am currently working on it to be a part of backend for a movie recommendation website.
pratap-is-here/opencv
Open Source Computer Vision Library
pratap-is-here/Operations-on-word-vectors
After this assignment you will be able to: Load pre-trained word vectors, and measure similarity using cosine similarity Use word embeddings to solve word analogy problems such as Man is to Woman as King is to __. Modify word embeddings to reduce their gender bias Let's get started!
pratap-is-here/pythonForDataScienceSR
pratap-is-here/Residual-Networks
You will learn how to build very deep convolutional networks, using Residual Networks (ResNets).
pratap-is-here/spam-detection-dataset
This is the dataset that can be used for training a model for spam detection
pratap-is-here/Titanic-survival-predictor
In this challenge, I completed the analysis of what sorts of people were likely to survive in the sinking of RMS titanic. In particular, I applied the tools of machine learning to predict which passengers survived the tragedy.