Applied Econometrics 2021

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

PhD Applied Econometrics class taught at UC Berkeley

Repository for data science book

A playbook for systematically maximizing the performance of deep learning models.

A beautiful, simple, clean, and responsive Jekyll theme for academics

This is the course repository for w241 and 290 -- Experiments and Causality.

A package for the sparse identification of nonlinear dynamical systems from data

KDD 2020 tutorial on ML Fairness

online, memory efficient OCSMM

Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

node2bits: Compact Time- and Attribute-aware Node Representations. ECML/PKDD European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2019.

ChatterBot is a machine learning, conversational dialog engine for creating chat bots.

Latex code for making neural networks diagrams

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Anomaly detection related books, papers, videos, and toolboxes

Implementation of Active Anomaly Discovery (AAD) in Python

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy