Piyush Malhotra's repositories
PSO-for-Neural-Nets
Particle Swarm Optimizer For Neural Network Training
ResNet50-Tensorflow
This is an experimental code to train a ResNet-50 made entirely in Tensorflow on Dogs-vs-Cats-Redux
HandsOnML-Notes
Notes for Hands on Machine Learning with Scikit-Learn and TensorFlow
Keystroke-Dynamics-Using-LSTMs
Keystroke Dynamics Using LSTMs
CoordConv-Implementation
TensorFlow implementation of CoordConv Layer introduced by UBER
Autoencoder-Implementations
This repository contains various Autoencoders implemented using TensorFlow
Neural-Style-Transfer
Neural Style transfer using VGG-16 or VGG-19
Image-Captioning
Mobilenet features and LSTMs for Image Captioning - Using TF and TF-HUB
Convolution-and-Variants
Notebook and resources for https://predictiveprogrammer.com/convolution-and-variants/
Famous-CNN-Archs-1
Notebook and resources for https://predictiveprogrammer.com/famous-convolutional-neural-network-architectures-1/
PolynomialRegression-Tutorial
This repository contains notebook for Predictive Programmer Post
CNN-Text-Classifier
A CNN Text Classifier with a basic TensorFlow wrapper library
iMaterialist-Challenge-Furniture
This repository contains google colab notebook for iMaterialist Challenge
Stock-Price-Prediction-ML-Intro
Machine Learning introduction using stock price prediction
TensorFlow-Tuts
TensorFlow Tutorials in making
Autoencoder-Trial
A simple trial training an autoencoder
Capstone-MLND
This repo contains all the code and proposal for my Capstone project for MLND
CIFAR-10_Classifier-MLND
A CIFAR-10 classifier Made for MLND Project
Convolutional-Neural-Networks-Intro
CNNs Introduction
Deep-Learning-Intro
Deep Learning Introduction By Example
Dog-vs-Cat-Redux
Dogs-vs-cats-redux kernel tensorflow
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
intro-to-dl
Resources for "Introduction to Deep Learning" course.
nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)
PySyft
Encrypted Deep Learning Library
SmartCab-RL
Train a SmartCab to follow US traffic Laws
Transfer-Learning-Vgg-16
Transfer Learning on Dogs-vs-cats