aakansh9's Stars
awesome-selfhosted/awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
Dpananos/Categorical-Features
A tutorial in impact encoding for categorical features
jorisvandenbossche/target-encoder-benchmarks
Set of benchmarks comparing different Target Encoding options
rhiever/sklearn-benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
EpistasisLab/pmlb
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
tcassou/mlencoders
Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
marvin-hansen/StockUtils
Utils to process stock data
limexp/xgbfir
XGBoost Feature Interactions Reshaped
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
shichence/AutoInt
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
pympler/pympler
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.
has2k1/plotnine
A Grammar of Graphics for Python
Far0n/xgbfi
XGBoost Feature Interactions & Importance
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
sam31415/timeseriescv
Scikit-learn style cross-validation classes for time series data
scikit-multiflow/scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River.
numenta/NAB
The Numenta Anomaly Benchmark
crflynn/stochastic
Generate realizations of stochastic processes in python.
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
blablahaha/concept-drift
Algorithms for detecting changes from a data stream.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
atomantic/dotfiles
🖥️ Automated Configuration, Preferences and Software Installation for macOS
aeolyus/dotfiles
✨ There's no place like ~/
skwp/dotfiles
YADR - The best vim,git,zsh plugins and the cleanest vimrc you've ever seen
giantcroc/featuretoolsOnSpark
A simplified version of featuretools for Spark
jnmclarty/validada
Another library for defensive data analysis.
engarde-dev/engarde
A library for defensive data analysis.
aikho/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
jaywcjlove/awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.