uchihaitachi-1 Goto Github PK

adaptive-traffic-signal-control-using-reinforcement-learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

algorithmic-toolbox

My solutions for the algorithmic toolbox course on Coursera

attrition-analysis

Classifying employees using RFC, XGB classifier and Naive Bayes models.

autoencoders

Implementation of simple autoencoders networks with Keras

bayesian-decision-theory

Classification using Bayesian Decision Therory

bitcoin

Bitcoin Core integration/staging tree

cancer-calssification-with-cnn

Transfer learning to classify breast cancer H&E stained image dataset - ICAR2018

cancer-classification-with-cnn

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

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.

dynamic-programming-notes

Dynamic Programming Notes

electronicviolin

flask-rest-api-blog-series

flask-web-app-tutorial

Code for the note storing flask web app made during a YouTube video.

google-research

Google Research

gray-scale-transformations-in-images

iceberg-detection

Iceberg detection in PolSAR images using OpenCV and gray level image transformations.

iciar2018

Our solution for ICIAR 2018 Grand Challenge

iitb-ee-sem02

IIT Bombay Electrical Engineering BTech Year 1 Spring Semester

iitb-ee-sem03

IIT Bombay Electrical Engineering BTech Year 2 Fall Semester

iitb-proc

A 16-bit multi-cycle processor described in VHDL and implemented on an FPGA

installations_mac_ubuntu_windows

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

logistic-regression---bike-buyers

Predict the number of bike buyers using classification in Machine Learning.

lsm-in-tensorflow

GPU executable code for Liquid State Machine

microp

This repository contains the labwork done in EE337 (Microprocessors Lab), IIT Bombay. The code has been written in Assembly Code as well as C++.

ml-basics

ml-from-scratch

assingments from SHALA-20

mlmethods

Implementations of various feature selection methods

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.