temp3rr0r
Software Engineer on: Artificial Intelligence, Machine/Deep/Meta Learning, Time series, Cloud/Parallel Computing, Robotics and Spatiotemporal simulations
Vorselaar, Belgium
Pinned Repositories
CellularAutomataEpidemicModels
Stochastic Cellular Automata epidemic models in Python with 2D simulations
DR-DNN
Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting
Elderly-Assistant-OpenCV
A lightweight Computer vision service that can detect and count coffee mugs. Written with: Python, Flask, OpenCV and SQLite.
HexapodBot
HexapodBot - Arduino Pro Mini "spider" autonomous robot, with 6 legs (18 servos)
InfectiousDiseaseModelling
Parallel computing: Infectious Disease Modeling with OpenMP. Agent based modelling on Undirected Acyclic graphs.
Longsword-Data-MQTT-Publisher
Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM. The main IoT app. It runs on Nvidia Jetson TX2(embedded super-computer). Connects with sensors via BLE and publishes all the real-time IMU data to the AWS IoT stream via MQTT. It also interacts with the user via AWS Polly text-to-speech.
Longsword-Stance-Model-Training
Longsword Stance Model Training Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance Model Training: Deep Learning model & training python scripts. The model is genenerated with Keras, as a multivariate Bidirectional Long-Short Term Memory (LSTM) network, for classification of longsword movement gestures. Softmax is being used as the activation function and sparse-categorical cross-entropy on the final dense layer
Longsword-Stance-RESTful-Service
Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data. Using Flask and python, the pre-trained bidirectional LSTM deep learning model is loaded to memory. RESTful post request containing real-time rows of IMU data can be used to classify the longsword movement stance. Information on the classification confidence and execution time in milliseconds is also provided.
Ozone-Narx-DNN
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation
RoboticArm
6 DOF arm manipulation, utilizing knowledge-based reasoning, BDI and HTN planning
temp3rr0r's Repositories
temp3rr0r/Ozone-Narx-DNN
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation
temp3rr0r/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
temp3rr0r/DR-DNN
Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting
temp3rr0r/ardupilot
ArduPlane, ArduCopter, ArduRover, ArduSub source
temp3rr0r/coinbasepro-python
The unofficial Python client for the Coinbase Pro API
temp3rr0r/deep-neuroevolution
Deep Neuroevolution
temp3rr0r/Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
temp3rr0r/ecg_qc
A library to compute ECG signal quality indicators
temp3rr0r/evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
temp3rr0r/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
temp3rr0r/full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
temp3rr0r/Generative_Deep_Learning_2nd_Edition
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
temp3rr0r/gt7sp-api
Unofficial documentation and resources for working with the Gran Turismo Sport API.
temp3rr0r/gym
A toolkit for developing and comparing reinforcement learning algorithms.
temp3rr0r/HeroQuest
An open source implementation of the well-known board game!
temp3rr0r/Holo
Fiberpunk Holo from: https://github.com/peng-zhihui/HoloCubic
temp3rr0r/LDL
Learning Deep Learning
temp3rr0r/M6-methods
Data, Benchmarks, and methods submitted to the M6 forecasting competition
temp3rr0r/manim
Animation engine for explanatory math videos
temp3rr0r/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
temp3rr0r/NAB
The Numenta Anomaly Benchmark
temp3rr0r/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
temp3rr0r/retro
Retro Games in Gym
temp3rr0r/shap
A game theoretic approach to explain the output of any machine learning model.
temp3rr0r/spade
Smart Python Agent Development Environment
temp3rr0r/spektral
Graph Neural Networks with Keras and Tensorflow 2.
temp3rr0r/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
temp3rr0r/Stochastic-Processes
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
temp3rr0r/tfjs-tsne
temp3rr0r/wfdb-python
Native Python WFDB package