Pinned Repositories
mxeval
AdversarialAttacks
ASPRI
AS Path Relation Inference using neural networks
bert
TensorFlow code and pre-trained models for BERT
bigcodebench
BigCodeBench: The Next Generation of HumanEval
curveFittingMatlab
Recreating Chapter 1 topics from PRML. Curve fitting with matlab. Manual code for cross validation.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Leetcode
My solutions for problems on Leetcode
Speech-Recognition-Tensorflow-Challenge
Different CNN Models for keyword spotting in speech recognition
TransferLearning
sk-g's Repositories
sk-g/Speech-Recognition-Tensorflow-Challenge
Different CNN Models for keyword spotting in speech recognition
sk-g/Leetcode
My solutions for problems on Leetcode
sk-g/curveFittingMatlab
Recreating Chapter 1 topics from PRML. Curve fitting with matlab. Manual code for cross validation.
sk-g/TransferLearning
sk-g/AdversarialAttacks
sk-g/ASPRI
AS Path Relation Inference using neural networks
sk-g/bert
TensorFlow code and pre-trained models for BERT
sk-g/bigcodebench
BigCodeBench: The Next Generation of HumanEval
sk-g/CMPS-242
Github for CMPS 242 (Machine Learning) course work.
sk-g/DataStructures
Practicing data structures in multiple languages.
sk-g/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
sk-g/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
sk-g/face_recognition
The world's simplest facial recognition api for Python and the command line
sk-g/ImageCompression
Using TFGAN framework to play around with GAN architecture for image compression.
sk-g/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
sk-g/mbxp-exec-eval
sk-g/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
sk-g/MNISTGANTemp
Experiments with GAN architectures on pytorch,keras,tensorflow and CNTK
sk-g/models
Models and examples built with TensorFlow
sk-g/nevergrad
A Python toolbox for performing gradient-free optimization
sk-g/readings
A collection of some nice papers/research articles.
sk-g/SequenceGAN
Working on a blackbox GAN model to generate text sequences based on given closed corpus.
sk-g/sk-g.github.io
sk-g/storageResearch
Exploring DL usage in storage systems.
sk-g/tensorflow
Computation using data flow graphs for scalable machine learning
sk-g/torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
sk-g/Wisconsin-Breast-Cancer-Data
Implemented NN, SVM and other classification algorithms. Results and graphs included.