Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
attentions
PyTorch implementation of some attentions for Deep Learning Researchers.
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
awesome-nas-papers
Awesome Neural Architecture Search Papers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
mfriendly's Repositories
mfriendly/3D-Machine-Learning
A resource repository for 3D machine learning
mfriendly/awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
mfriendly/attentions
PyTorch implementation of some attentions for Deep Learning Researchers.
mfriendly/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
mfriendly/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
mfriendly/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
mfriendly/awesome-nas-papers
Awesome Neural Architecture Search Papers
mfriendly/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
mfriendly/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
mfriendly/prediction_KoCPI
mfriendly/STNSCM
This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
mfriendly/mfriendly.github.io
My tech blog
mfriendly/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
mfriendly/correlation-attention-epi-forecast
mfriendly/darts
A python library for easy manipulation and forecasting of time series.
mfriendly/Finance_And_Covid_Tracking_Dashboard
mfriendly/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
mfriendly/google-research
Google Research
mfriendly/mfriendly
Config files for my GitHub profile.
mfriendly/nerf
Code release for NeRF (Neural Radiance Fields)
mfriendly/oil-prices
Brent crude and WTI oil prices from US EIA
mfriendly/public-apis
A collective list of free APIs
mfriendly/pydeps
Python Module Dependency graphs
mfriendly/python-cheatsheet
Comprehensive Python Cheatsheet
mfriendly/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
mfriendly/ReGraFT
Forecasting Epidemic Spread with Recurrent Graph Gate Fusion Transformers
mfriendly/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
mfriendly/TCN
Sequence modeling benchmarks and temporal convolutional networks
mfriendly/Times_series
time series
mfriendly/zipline
Zipline, a Pythonic Algorithmic Trading Library