prabhant

synthesizing-robust-adversarial-examples

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

Network-Intrusion-detection-with-machine-learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DSSO-Malaria

Genetic-adversarial-examples

Using Genetic algorithms to generate adversarial examples.

Adversarial-examples-for-Machine-Learning

Summaries and few implementations of adversarial examples

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

Char-NMT

Character Level Neural Machine Translation - German to English

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

ENAS-cifar100

Changes in ENAS to run on Cifar100

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

EPIJudge

EPI Judge - Preview Release

fastpages

fastpages-1

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

indicator-scraper

Scraper using BS4

KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

Learning-Wasserstein-Embeddings

Keras implementation of Deep Wasserstein Embeddings

M4-methods

Includes the source code of the methods which participated in the M4 Competition

migrationTool

NLP-seminar

Repo for NLP seminar spring 2018 @UT

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

openml-keras

Keras extension for openml-python

openml-python

Python module to interface with OpenML

openml.org

New OpenML website

OTCE_Transferability_CVPR21

A demo code of "OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations" published in CVPR2021

OWASP-tutorial

Tutorial on adversarial ML for OWASP Top 5 ML risks - Open Security Summit

PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pmf-automl

Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

TheConsciousnessPrior

AI-ON Consciousness Prior

TuningMachinesMind

Ruminations on various topics on machine learning, data science, music, physics, psychology, etc hosted using fastpages!