Bayesian Inference Tools in Python.
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Blazing fast short-text-topic-modelling for Python.
Cloud native AI, analytic and data management platform that supports the analytics life cycle.
Tutorial on Python time-series model deployment.
A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.
Multidimensional cluster generation in Python.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
A Python-inspired implementation of the Optimum-Path Forest classifier.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
IPython notebooks for a complete course around understanding Nervana's Neon.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Metric Learning Algorithms in Python.
A Python module for metric learning.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
IPython notebooks from Data School's video tutorials on scikit-learn.
Python module to perform under sampling and oversampling with various techniques.
Python materials for the online course on diffusion models by @huggingface.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.