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A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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IPython notebooks for a complete course around understanding Nervana's Neon.
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Methods for dimensionality reduction.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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Metric Learning Algorithms in Python.
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A Python module for metric learning.
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Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
IPython notebooks from Data School's video tutorials on scikit-learn.
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Python materials for the online course on diffusion models by @huggingface.
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ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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A fast Evolution Strategy implementation in Python.
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A Pythonic algorithmic trading library.
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A Python Framework for Wind Energy Analysis and Prediction.
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A Python library for symbolic mathematics.
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Statistical modelling and econometrics in Python.
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Self Organizing Map written in Python (Uses neural networks for data analysis).
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Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
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A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
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A python framework to transform natural language questions to queries in a database query language.
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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.