DavidAlexanderMoe's Stars
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
lyuwenyu/RT-DETR
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
mintisan/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
google/CausalImpact
An R package for causal inference in time series
CalculatedContent/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
NX-AI/xlstm
Official repository of the xLSTM.
youssefHosni/Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
aeon-toolkit/aeon
A toolkit for machine learning from time series
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
google/temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠temporal data 📈 for machine learning applications 🤖
valeman/Transformers_And_LLM_Are_What_You_Dont_Need
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
Azure/lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
aangelopoulos/conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
pg2455/KAN-Tutorial
Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
nagdevAmruthnath/Predictive-Maintenance
A notebook tutorial series for performing predictive maintenance using machine learning
lightning-uq-box/lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
archd3sai/Predictive-Maintenance-of-Aircraft-Engine
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
ashishpatel26/Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
lestercardoz11/fault-detection-for-predictive-maintenance-in-industry-4.0
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
aangelopoulos/conformal-time-series
Conformal prediction for time-series applications.
superlinear-ai/conformal-tights
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
shoepaladin/causalinference_crashcourse
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
raz1470/causal_ai
This project introduces Causal AI and how it can drive business value.
tblume1992/ConformalImpact
Causal Impact but with MFLES and conformal prediction intervals
predict-idlab/crepes-weighted
Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
GolnooshBabaei/safeaipackage