profsquirrel's repositories
autokeras
AutoML library for deep learning
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
BSRT
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
climate-learn
Source code for ClimateLearn
dash-predictive-maintenance
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
lofo-importance
Leave One Feature Out Importance
mindsdb
An emerging platform to help developers build #AI solutions
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
optuna-examples
Examples for https://github.com/optuna/optuna
thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
transfer-learning-for-nlp
Companion repository to Paul Azunre's "Transfer Learning for Natural Language Processing" book
WT_fault_identification
Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data
PhySO
Physical Symbolic Optimization
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
symbolicai
Compositional Differentiable Programming Library
wtphm
SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd