Gayan225

deepface

face analysis project with tensorflow 2.0 || arcface

DeepLearnigClass

DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

ExtremeValueMachine

This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.

https-git.overleaf.com-18040752zqzkgmbrhfcp

models_V1

Models and examples built with TensorFlow

openai-cookbook

Examples and guides for using the OpenAI API

openintro

📦 R package for data and supplemental functions for OpenIntro resources

scuRNN

Code for the paper "Complex Unitary recurrent Neural Network using Scaled Cayley Transform "

Symmetry-Structured-Convolutional-Neural-Networks

Code for the RNA secondary structure inference problem in the Symmetry Structured Convolutional NeuralNetworks

Gayan225/scuRNN

Code for the paper "Complex Unitary recurrent Neural Network using Scaled Cayley Transform "

Gayan225/Symmetry-Structured-Convolutional-Neural-Networks

Code for the RNA secondary structure inference problem in the Symmetry Structured Convolutional NeuralNetworks

Gayan225/deepface

face analysis project with tensorflow 2.0 || arcface

Gayan225/DeepLearnigClass

Gayan225/DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Gayan225/ExtremeValueMachine

This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.

Gayan225/https-git.overleaf.com-18040752zqzkgmbrhfcp

Gayan225/models_V1

Models and examples built with TensorFlow

Gayan225/openai-cookbook

Examples and guides for using the OpenAI API

Gayan225/openintro

📦 R package for data and supplemental functions for OpenIntro resources

Gayan225/openintro-statistics

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

Gayan225/openintro-statistics-slides

👩🏻‍🏫 Slides for OpenIntro Statistics

Gayan225/pyrameter

Structure, sample, and savor hyperparameter searches.

Gayan225/shadho

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Gayan225/tensorflow

Computation using data flow graphs for scalable machine learning

Gayan225/tgcn_lstm_for_crypto_forecasting

This repository contains code and notebooks for a project focused on cryptocurrency price prediction. The project aims to explore and compare different machine learning approaches, including graph neural networks (GNNs) and Long Short-Term Memory (LSTM) models, to forecast cryptocurrency prices accurately.