508shuto's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ctgk/PRML
PRML algorithms implemented in Python
facebookresearch/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
arXivTimes/arXivTimes
repository to research & share the machine learning articles
s3prl/s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit
f90/Wave-U-Net-Pytorch
Improved Wave-U-Net implemented in Pytorch
oreilly-japan/deep-learning-from-scratch-5
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
ch-shin/awesome-nilm
A curated resources of awesome NILM resources
yamathcy/awesome-music-informatics
A curated list of awesome article, tutorial, library, webpage, etc.
JackKelly/neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
chainer/tutorials
Introduction to Deep Learning: Chainer Tutorials
zhgqcn/awesome-NILM-with-code
A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
unonao/kaggle-template
MLコンペ用テンプレート
buds-lab/ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
makaishi2/python_bayes_intro
Pythonでスラスラわかるベイズ推論「超」入門 サポートサイト
Yueeeeeeee/BERT4NILM
[NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring
fkubota/kaggle-Cornell-Birdcall-Identification
Cornell Birdcall Identification コンペのリポジトリ
supikiti/hydra-mlflow-optuna-sample
unonao/atmacup-15