nlebang's repositories
BayesianLSTM
Bayesian LSTM Implementation in PyTorch
best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
cudf
cuDF - GPU DataFrame Library
DIG
A library for graph deep learning research
Fault-Detection-Using-Deep-Learning-Classification
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.
FreePMU
The FreePMU project delivers an open source Phasor Measurement Unit (PMU) for power system analysis based on the STM32F769 Discovery kit and an instrumentation PCB. Its characteristics are low cost, open architecture and open source code. FreePMU measures fundamental and harmonic synchrophasors as well as the signal frequency for a three-phase distribution circuit.
Graph-Machine-Learning
Graph Machine Learning, published by Packt
latent-dag
Learning latent causal graphs via mixture oracles
Load-forecasting-IEEE-TPWRS-2020
Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)
load-forecasting-resnet
short-term load forecasting with deep residual networks
Machine_Learning_2_months
I'm challenging to myself to learn Machine Learning Algorithms, as much as I can within 2 months
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
OPFLearn.jl
A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
rlmeta
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
SIIM-COVID19-Detection
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
solar
Solar Radiation and Photovoltaic Systems with R
SpreadGNN
SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
start-machine-learning-in-2020
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
STLF
Short-term load forecasting with machine learning
TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages)
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020
zorro
Implementation fo Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks