chengyineng38

ml-mgie

llamaindex-on-databricks

llms_for_good

Aligning Large Language Models to business preferences on Databricks

langgraph

Build resilient language agents as graphs.

WhisperFusion

WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.

databricks-ml-examples

aisys-building-blocks

Building blocks for foundation models.

llm-foundation-models

pypdf

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

llm-numbers

Numbers every LLM developer should know

open-llms

📋 A list of open LLMs available for commercial use.

many-model-forecasting

Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.

tuning_playbook

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

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

website

Source for https://fullstackdeeplearning.com

distributed-deep-learning-workshop

mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

Content-AWS-Certified-Data-Analytics---Speciality

DAS-C01 ACG/LA by Brock Tubre and John Hanna

e2e-mlops

[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template

ide-best-practices

Best practices for working with Databricks from an IDE

databricks_feature_store

cond_rnn

Conditional RNNs for Tensorflow / Keras.

shparkley

Spark implementation of computing Shapley Values using monte-carlo approximation

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.