jpamphile's Stars
keitabroadwater/gnns_in_action
Code and Content for Manning Publication on Graph Neural Networks
alelab-upenn/graph-neural-networks
Library to implement graph neural networks in PyTorch
Aphtasik/Graph-theory-algorithms-with-Python
Implementation of graph theory algorithms from scratch using python
justinm0rgan/bivariatechoropleth
This repo will outline the process of constructing a bivarate choropleth map in python.
ChawlaAvi/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
nivu/ai_all_resources
A curated list of Best Artificial Intelligence Resources
Bondify/gtfs_functions
Package with useful functions to create geo-spatial visualizations from a GTFS.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TomasBeuzen/machine-learning-tutorials
A collection of tutorials for different machine learning tasks
gis-ops/pyvalhalla
High-level Python bindings to the Valhalla routing framework.
jreades/urb-studies-predicting-gentrification
This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".
fnardi/GFPLAIN
Global FloodPLAIN mapping using a geomorphic algorithm
r5py/r5py
Rapid Realistic Routing with R5 in Python
saugatapaul1010/Implement-SGD-from-scratch.
In this experiment we will implement Stochastic Gradient Descent from scratch. We will use multiple datasets in multiple Ipython notebooks to check the iuntegrity of the custom implementaton. We will compare the mean squared error obtained from our custom implementation to that of SKLEARNS LinearRegressor and SGDRegressor and see if all the errors are in similar ranges.
rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel
The full collection of all codes for my Youtube Channel segregated as per topic.
microsoft/CanadianBuildingFootprints
Computer generated building footprints for Canada
deepshamenghani/shinypython_meetup
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
symmy596/towards-data-science-articles
symmy596/pythonmaps.github.io
yotkadata/plotly-bivariate-choropleth
A Jupyter Notebook containing a method to create a bivariate choropleth map using Plotly
Yousuf28/Machine_Learning_Materials_to_Follow
Machine Learning Materials
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
Maatos/Data-Science-projects
Data Science Projects
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
dair-ai/Transformers-Recipe
🧠 A study guide to learn about Transformers
remicnrd/ml_cheatsheet
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood