nareshshah139 Goto Github PK

ageestimateadience

Age and Gender Estimation Using Convolutional Neural Network

cancer-deep-learning-model

Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model

cocktailpartyalgorithm1

CocktailPartyAlgorithm

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

elevatorsim

Elevator simulation for CS 1538

elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

entity-embedding-rossmann

entity_extractor

Example of OpenNLP Usage for CSci-572

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

financialanalyticsproject

foodrun

Recipe and Grocery planning

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

gluon-nlp

NLP made easy

googlehashcode

An approach using C++

ie-group-d-term3

Group D Projects Term 3

ie_data_mining

Code for the third and final assignment

ie_time_series_grp_e

This is a repo for Group E's work in the Time Series Analysis Course

ie_time_series_grp_e-master

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

influence-release

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

integratedgradients

Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

interpretable_papers

Interpretable AI papers

javaproblemssolving

cs602 sources

kaggle-seeclickfix-model

Prize-winning solution for Kaggle contest "SeeClickPredictFix". The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. This code developed by me uses a segment based ensemble to generate predictions for the 3 targets (views, votes, and comments). My teammate and I used this model in combination with his to create a winning model for the contest, defeating >500 other teams and winning a purse of $1,0000.

keras-facenet

Facenet implementation by Keras2

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

nn-transfer

Convert trained PyTorch models to Keras, and the other way around

onsite

realtime news + twitter + location + filters = automated, reliable firsthand accounts of news as it happens