Pinned Repositories
absences-Module
AdoBot
Open-source android spyware
AdoBot-IO
AdoBot NodeJS Server with socket.io
deep-nilmtk-v1
Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipeline independently of the deep learning backend. In its current version the toolkit considers two of the most popular deep learning pipelines. The training and testing phases are fully compatible with NILMtk. Several
DNN-NILM-template
The current repository offer a ready to use project for easy design of experiments based on
FL-NILM
The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.
image-nilm
Module-Note
nilm-dashboard
nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)
BHafsa's Repositories
BHafsa/AdoBot
Open-source android spyware
BHafsa/AdoBot-IO
AdoBot NodeJS Server with socket.io
BHafsa/Angular-AlbumStoreProductPage
BHafsa/angular-rubik-cube
Rubik's cube written in angular
BHafsa/BVTest
BHafsa/convcnp
Implementation of the Convolutional Conditional Neural Process
BHafsa/deep-learning-project-template
Pytorch Lightning code guideline for conferences
BHafsa/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
BHafsa/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
BHafsa/dog-project
BHafsa/DynmaicGraph
BHafsa/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
BHafsa/FL2
BHafsa/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
BHafsa/mathjs
An extensive math library for JavaScript and Node.js
BHafsa/MLOps
BHafsa/neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
BHafsa/nilmtk-contrib
BHafsa/project-bikesharing
BHafsa/pyts
A Python package for time series classification
BHafsa/relative-image-url
A simple test of using relative URL in .MD files
BHafsa/SL_Klagenfurt_2019
Statistical Learning class at Alpen-Adria-Universität Klagenfurt summer semester 2019 given by Prof. Dr. Härdle.
BHafsa/SL_Klagenfurt_2020
Statistical Learning class at Alpen-Adria-Universität Klagenfurt winter semester 2020 given by Prof. Dr. Härdle.
BHafsa/TensorFlow-in-Practice
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time S
BHafsa/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
BHafsa/torchbench
Easily benchmark machine learning models in PyTorch
BHafsa/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
BHafsa/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
BHafsa/Tutorials
Tutorials for creating figures, tables, or other content for AAS Journals.
BHafsa/ui