100 Days of ML Coding
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100 Days of ML Coding
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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.
The "Python Machine Learning (1st edition)" book code repository and info resource
Statsmodels: statistical modeling and econometrics in Python
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Catch CSS curve balls.
Automate running Lighthouse for every commit, viewing the changes, and preventing regressions
Statistical Machine Intelligence & Learning Engine
A Cloud Native traffic orchestration system. (CNCF Project)
mlpack: a fast, header-only C++ machine learning library
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Scalable and user friendly neural :brain: forecasting algorithms.
✨ Jest matcher for image comparisons. Most commonly used for visual regression testing.
Math.NET Numerics
TranslatedNon-autoregressive System 1 decision engine, designed for structured, typed decision-making scenarios. DeepOpen Multilingual, non-autoregressive System 1 decision engine.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A collection of research papers on decision, classification and regression trees with implementations.
🕶️ A curated list of resources around the topic: visual regression testing
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra