Supplemental material on comparability and performance evaluation in NILM
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Updated
Nov 18, 2019 - Jupyter Notebook
Supplemental material on comparability and performance evaluation in NILM
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Detecting Bot Behaviour in Social Media using Digital DNA Compression
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This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset
A python JAX implementation of the paper: Kaiser, L., Babaeizadeh, M., Milos, P., Osinski, B., Campbell, R.H., Czechowski, K., Erhan, D., Finn, C., Kozakowski, P., Levine, S. and Mohiuddin, A., 2019. Model-based reinforcement learning for atari. arXiv preprint arXiv:1903.00374.
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
This is a python JAX implementation of the paper: Rainbow: Combining improvements in deep reinforcement learning, by M. Hessel et al. In Thirty-Second AAAI Conference on Artificial Intelligence.
Codes used for generating the results in the paper "Geometric Adaptive Controls of a Quadrotor UAV with Decoupled Attitude Dynamics"
An Android application that recognizes books in public bookcases and highlights them in the camera view. A dataset of images from book spines and public bookcases.
[BR/PT] Publicação científica sobre processos de ETL.
[BR/PT] Publicação científica sobre Previsão de Séries Temporais para Estação de Tratamento de Esgoto utilizando ARIMA e ETS.
A size-structured model for Samoan crab in Hawai‘i based on mark-recapture data
Basic functions and files for a closed-loop simulation for forage fish.
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
Scientific publication on Time Series Forecasting using ARIMA and ETS applied to Wastewater Treatment Plant.
A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
This is the python source code of ChemVox (https://www.amazon.com/dp/B08G1C97J5). ChemVox is a free, ready to use Alexa skill that interfaces Amazon Web Services (AWS) with the PubChem chemical database and the TeraChem Cloud framework for cloud based quantum chemistry. ChemVox can answer questions related to the electronic properties of small a…
Mixed-curvature Variational Autoencoders (ICLR 2020)
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