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Python materials for the online course on diffusion models by @huggingface.
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victorzhou.com
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
making.lyst.com
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
github.com
A minimal, educational, Pythonic implementation of autograd (~100 loc).
github.com
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
github.com
Machine learning for NeuroImaging in Python.
github.com
A Python-inspired implementation of the Optimum-Path Forest classifier.
github.com
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
github.com
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
github.com
Another Python Machine Learning Library.
github.com
Multidimensional cluster generation in Python.
pymc.io
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
github.com
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
Tutorial on Python time-series model deployment.
github.com
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
github.com
Deep learning based facial detector for Python coming with facial landmarks.
centre-for-humanities-computing.github.io
Blazing fast short-text-topic-modelling for Python.
github.com
Open-source Python library enabling ML model inspection and interpretation.
github.com
An open source Python library focused on outlier, adversarial and drift detection.
github.com
A simple, but essential Bayesian optimization package, written in Python.
pypi.org
Python bindings for the BLLIP natural language parser.
codeflash.ai
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.
github.com
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.