jdmoore7
Full stack data scientist. Former Information & Decision Science graduate student at UIC.
Chicago, IL
jdmoore7's Stars
code4mk/aws-lambda-serverless-fastapi
aws lamda fastapi with serverless
igorbenav/SQLModel-boilerplate
An extendable async API using FastAPI, SQLModel, PostgreSQL and Redis.
sixfwa/react-fastapi
uhttred/fastapi-with-django-orm-template
A FastAPI with Django ORM Template. Use it as a basic structure to start your new projects
whitphx/stlite
Serverless Streamlit 🎈🚀
sgkruk/Apress-AI
ahmedfgad/GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
django-crispy-forms/django-crispy-forms
The best way to have DRY Django forms. The app provides a tag and filter that lets you quickly render forms in a div format while providing an enormous amount of capability to configure and control the rendered HTML.
iamshaunjp/bootstrap-5-tutorial
All course files for the Bootstrap 5 tutorial series on Net Ninja.
Koed00/django-q
A multiprocessing distributed task queue for Django
bigskysoftware/htmx
</> htmx - high power tools for HTML
CamDavidsonPilon/lifetimes
Lifetime value in Python
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
njdreikosen/email_listener
AlfredoSequeida/etext
Send text messages (sms + mms) using Python for free via email.
daft-dev/daft
Render probabilistic graphical models using matplotlib
GoogleCloudPlatform/cloud-sql-python-connector
A Python library for connecting securely to your Cloud SQL instances.
sapped/Authenticated-Full-Stack-Streamlit
Repo for my personal site
dataandcaffeine/pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
josejimenezluna/pyGPGO
Bayesian optimization for Python
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
aesara-devs/aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
junpenglao/advance-bayesian-modelling-with-PyMC3
pymc-devs/pymc-resources
PyMC educational resources
gbosquechacon/statrethink_course_in_pymc3
Statistical Rethinking course in pymc3
rmcelreath/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
aikorea/awesome-rl
Reinforcement learning resources curated
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
mullenkamp/pdsql
Functions for adding, manipulating, and changing data in SQL servers