Vatsal Kedia's repositories
qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Reinforcement-Learning-Algorithms-with-Python
Reinforcement Learning Algorithms with Python, Published by Packt
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
shala2020.github.io
Lectures and notes for a summer course on DS, ML, and AI
MultistepNNs
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
CS5020_2019
CS5020: Nonlinear Optimization, IIT Madras. This repository contains all the work done as part of the course CS5020, Nonlinear optimisation: Theory and algorithms taught by Prof. Harish Guruprasad.
rSVD
Randomized Matrix Decompositions using R
rnn-from-scratch
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
CS7015_2019
CS7015: Deep learning, IIT Madras. This repository contains code for all the assignments completed as a part of the course CS7015 Deep Learning at IIT Madras during the Jan-May semester of 2019 and some other useful material.
rnn-from-scratch-1
Implementing Recurrent Neural Network from Scratch
dynamical-systems-with-applications-using-python
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
CUR-matrix-decomposition
A matlab library for CUR matrix decomposition
NeuralModels
A library for neural networks. Built on Theano.
ICCV2015_Brain4Cars
Code for ICCV2015 paper "Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models"
RandMatrixMatlab
simple MATLAB code for randomized matrix computation
SVDapprox
An approximate SVD for large matrices in Julia.