summuk Goto Github PK

auto-sklearn-tutorial

Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

autokeras

AutoML library for deep learning

autonomous-uavs

List of open-source algorithms and resources for UAVs

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

balancing-data-smote

In this project, I have worked on the problem of Credit Card Fraud Detection. The data is highly imbalanced with the positive class (fraud) accounting merely for 0.172% of the data. In classification problem balancing your data is extremely important. Here I have described how accuracy should not be the only criteria to judge model performance.

basketball_analytics

Repository which contains various scripts and work with various basketball statistics

bayesianprobabilitiesworkshop

A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.

bayesianrenewablesgan

Research code for Bayesian Renewables Scenario Generation via Deep Generative Networks

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bet-on-sibyl

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

bioimage-classification-with-handcrafted-and-learned-features-

biopython

Official git repository for Biopython (originally converted from CVS)

blbc-probtheory

Bayes@Lund Book Club: Probability Theory by E.T.Jaynes

brainpy

Brain Dynamics Programming in Python

brilliant-courses

Notes and explorations from courses I'm studying with Brilliant

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

c-language-programs

Govt Post Graduate College BS 1ST Semester(CS) Exercise Programs of "Programming Fundamentals in C Language"

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

calibratable-style-consistency

capstoneproject1

Predicting a player's NFL Draft round

car_price_prediction

This repository contains notebooks for car price prediction using linear regression

cartesian

a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.

casnet

An R toolbox for studying Complex Adaptive Systems and NETworks

categorical-features

channelnet

Implementation of the paper "Deep Learning-Based Channel Estimation"

chaos-introduction

chaosfex

Feature Extraction using Chaos

chaosnet