adbmd's repositories
arkouda
Arkouda: NumPy-like arrays at massive scale backed by Chapel (a python/chapel package)
awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
book
Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code is an open-access book-in-progress, under contract with O'Reilly Media.
cog
Containers for machine learning
data-science-template
Template for a data science project
dataviz
A book covering the fundamentals of data visualization
deepsparse
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
employee-future-prediction
Demo for Using GitHub Actions in MLOps
fasterai
FasterAI: Prune and Distill your models with FastAI and PyTorch
ipyvizzu
ipyvizzu is the Jupyter Notebook integration of Vizzu.
ipyvizzu-story
Animated Chart Presentation in Jupyter Notebook.
kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
matplotlib-venn
Area-weighted venn-diagrams for Python/matplotlib
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
odd-platform
First open-source data discovery and observability platform. ODD Platform is based on ODD Specification.
ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
pml2-book
Probabilistic Machine Learning: Advanced Topics
popmon
Monitor the stability of a Pandas or Spark dataframe ⚙︎
probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
sktime
A unified framework for machine learning with time series
small-text
Active Learning for Text Classification in Python
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Transformers-Recipe
🧠 A quick recipe to learn all about Transformers
UltraDict
Shared, streaming Python dict
www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.