srajan-jha Goto Github PK

3d-trapping-rain-water-system

The repo contains the solution to the complex 3D rain water trapping system which was presented in Leetcode Problem No. 407 and Google Interview Round. Additionally, it treats '0' as the drainage of the system. (Check the readme file for detailed description)

bookshelf

:books: books

brain-tumor-detection-using-resnet

Repo contains the ResNet Model implemented to classify brain tumor and and a healthy brain from ECG images provided.

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-walkthrough

Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.

deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

linear-regression-tasks

The repo contains some projects and tasks I'd done while starting with my journey of ML. The exercises were provided by an online course which I took. However, I played with some parameters while practicing.

mnist-data-using-keras

MNIST dataset is one of the classical problem in machine learning which deals to tackle the problem of recognizing hand-writeen digits from 0 through 9. It is often referred to as the 'Hello World Program' for Machine Learning! The dataset consists of 60,000 training images and 10,000 test images of digits each being 28 x 28 pixels in size.

neural_network_voices

This is the code for "Neural Network Voices" by Siraj Raval on Youtube

srajan-jha.github.io

vani-personal-assistant

wavenet_vocoder

WaveNet vocoder