sk-g

Speech-Recognition-Tensorflow-Challenge

Different CNN Models for keyword spotting in speech recognition

Leetcode

My solutions for problems on Leetcode

curveFittingMatlab

Recreating Chapter 1 topics from PRML. Curve fitting with matlab. Manual code for cross validation.

TransferLearning

AdversarialAttacks

ASPRI

AS Path Relation Inference using neural networks

bert

TensorFlow code and pre-trained models for BERT

CMPS-242

Github for CMPS 242 (Machine Learning) course work.

DataStructures

Practicing data structures in multiple languages.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

CredSweeper

CredSweeper is a tool to detect credentials in any directories or files. CredSweeper could help users to detect unwanted exposure of credentials (such as token, passwords, api keys etc.) in advance. By scanning lines, filtering, and using AI model as option, CredSweeper reports lines with possible credentials, where the line is, and expected type o

face_recognition

The world's simplest facial recognition api for Python and the command line

ImageCompression

Using TFGAN framework to play around with GAN architecture for image compression.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mbxp-exec-eval

MNIST_Beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

MNISTGANTemp

Experiments with GAN architectures on pytorch,keras,tensorflow and CNTK

models

Models and examples built with TensorFlow

nevergrad

A Python toolbox for performing gradient-free optimization

readings

A collection of some nice papers/research articles.

SequenceGAN

Working on a blackbox GAN model to generate text sequences based on given closed corpus.

sk-g.github.io

storageResearch

Exploring DL usage in storage systems.

tensorflow

Computation using data flow graphs for scalable machine learning

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

Wisconsin-Breast-Cancer-Data

Implemented NN, SVM and other classification algorithms. Results and graphs included.