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Mastering Applied AI, One Concept at a Time
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
📱 ✅ Some awesome projects in python! 📱 ✅
garimasingh128 / awesome-github-profile-readme
Forked from abhisheknaiidu/awesome-github-profile-readmeA curated list of awesome Github Profile READMEs
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
Opionated helpers for creating py.test fixtures for Docker integration and smoke testing environments
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Library for fancy isotonic regression, more than what's in sklearn
PlanOut is a library and interpreter for designing online experiments.
This repo contains lecture notes and projects for Spring 2017 MTH9894 Systematic Trading course
Material workbench for the master-level course CS-E4740 "Federated Learning"
An implementation of the multi-armed bandit optimization pattern as a Flask extension
The only guide you need to learn everything about GMM
PyMC educational resources
A curated list of programmatic weak supervision papers and resources
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
list of papers, code, and other resources
Best practices for distilling large language models.
Self study on Cryer and Chan's "Time series analysis with applications in R"
Self-study on Larry Wasserman's "All of Statistics"
A collection of LLM services you can self host via docker or modal labs to support your applications development
Converts text input or URL into knowledge graph and displays