jupyter-notebooks
There are 1868 repositories under jupyter-notebooks topic.
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
codebasics/py
Repository to store sample python programs for python learning
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
AnswerDotAI/nbdev
Create delightful software with Jupyter Notebooks
ploomber/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
fastai/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
jupyter-widgets/ipywidgets
Interactive Widgets for the Jupyter Notebook
fastai/course22
The fast.ai course notebooks
swar/nba_api
An API Client package to access the APIs for NBA.com
tcgoetz/GarminDB
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.
neonwatty/machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
trekhleb/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
tugstugi/dl-colab-notebooks
Try out deep learning models online on Google Colab
JetBrains/lets-plot
Multiplatform plotting library based on the Grammar of Graphics
amrzv/awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
liuyubobobo/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
ipyflow/ipyflow
A reactive Python kernel for Jupyter notebooks.
uds-se/fuzzingbook
Project page for "The Fuzzing Book"
alishobeiri/thread
AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data
curiousily/Deep-Learning-For-Hackers
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)
upb-lea/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
man-group/notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
Kotlin/kandy
Kotlin plotting library.
tweag/jupyenv
Declarative and reproducible Jupyter environments - powered by Nix
odpi/OpenDS4All
OpenDS4All project, hosted by LF AI & Data
planetlabs/notebooks
interactive notebooks from Planet Engineering
jupyter-widgets/ipydatagrid
Fast Datagrid widget for the Jupyter Notebook and JupyterLab
hb20007/hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
jbagnato/machine-learning
Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
JetBrains/lets-plot-kotlin
Grammar of Graphics for Kotlin
Graylab/DL4Proteins-notebooks
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
LucaCanali/Miscellaneous
Includes notes on using Apache Spark, with drill down on Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark. Also tools for stress testing, measuring CPUs' performance, and I/O latency heat maps. Jupyter notebooks examples for using various DB systems.