There are 11 repositories under ipynb topic.
Open Machine Learning Course
Plain python implementations of basic machine learning algorithms
学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Image segmentation - general superpixel segmentation & center detection & region growing
GraphBLAS for Python
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
[tutorial]A functional, Data Science focused introduction to Python
Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Vim plugin for editing Jupyter ipynb files via jupytext
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
A strongly-typed genetic programming framework for Python
Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"
Exploring the simple sentence similarity measurements using word embeddings
A Python library for structural analysis using the finite element method
An IPython notebook plugin for visualizing ASTs.
Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
Command-line program for cleaning Julia files (.jl) and Jupyter notebooks (.ipynb) 🧹 Official janitor of Google Colab 👷
Notebooks from Operação Serenata de Amor
强化学习-中文笔记&资源-以python实例为主-由浅入深
Hacktoberfest 2021 contribution repository✨
This repo is part of a series of blog post titled "Nothing but NumPy"
Analyses on over 18,000 pitchfork reviews.
Finding the best parameters for any algorithm
A professional, lock-in-free Jupyter dev env for coders, teams and non-trivial, large Jupyter projects
Convert .py files runnable in VSCode or Atom/Hydrogen to Jupyter .ipynb notebooks and vice versa
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
nlp lecture-notes and source code
MegEngine Official Documentation