#Jupyter-notebooks
Showing 60 of 125 repositories tagged #jupyter-notebooks, ranked by stars
Practice your pandas skills!
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Ready-to-run Docker images containing Jupyter applications
Repository to store sample python programs for python learning
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Collection of notebooks about quantitative finance, with interactive python code.
Create delightful software with Jupyter Notebooks
An API Client package to access the APIs for NBA.com
The fast.ai course notebooks
The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈ
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.
π€ Interactive Machine Learning experiments: ποΈmodels training + π¨models demo
Try out deep learning models online on Google Colab
Multiplatform plotting library based on the Grammar of Graphics
Collection of google colaboratory notebooks for fast and easy experiments
A reactive Python kernel for Jupyter notebooks.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
Kotlin plotting library.
Declarative and reproducible Jupyter environments - powered by Nix
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
OpenDS4All project, hosted by LF AI & Data
interactive notebooks from Planet Engineering
The hands-on NLTK tutorial for NLP in Python
CΓ³digo Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en EspaΓ±ol
Personal deep learning study notes and tutorial-style notebooks
H2O.ai Machine Learning Interpretability Resources
Grammar of Graphics for Kotlin
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
A Notebook with Flexible Customization and Easy Integration.
Build dashboards using Jupyter Notebooks
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Course notes for Data Science related topics, prepared in LaTeX
Ψ―ΩΨ±Ω Ψ¬Ψ§Ω ΨΉ ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ ΨΉΩ ΫΩ Ψ¨Ψ§ Tensorflow Ω Keras
A web frontend for scheduling Jupyter notebook reports
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
Dashboard template for VoilΓ based on GridStackJS
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
A collection of Jupyter Notebooks for learning Python for Data Science.
Things that you should (and should not) do in your Materials Informatics research.
An open, large-scale, interactive textbook.
Inline data annotator for Jupyter notebooks
Recipes and resources for building, deploying, and fine-tuning generative AI with Fireworks.
Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
Evaluation Tool for Anomaly Detection Algorithms on Time Series
β‘οΈπ§ͺ Fast LLM Tool Calling Experimentation, big and smol
massively parallel experimentation with Jupyter and AWS Lambda ππ©π
Convert Jupyter notebook to Excel spreadsheet
Collection of jupyter notebooks
A Python and R autograding solution
A collection of interactive notebooks to explain concepts of quantum mechanics and related topics
Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"
Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.