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Joshua Kim's Projects

1st-edition icon 1st-edition

Source Code Collection and Supplemental Material for the O'Reilly Snowflake Definitive Guide 1st Edition book

amss icon amss

Learn Bayesian Regression on simulated dataset

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

azureml-examples icon azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

charcnn_keras icon charcnn_keras

The implementation of text classification using character level convoultion neural networks using Keras

chatarena icon chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

chatdev icon chatdev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

cmu-multimodalsdk icon cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

conv-emotion icon conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations.

hnatt-1 icon hnatt-1

Train and visualize Hierarchical Attention Networks

kaldi icon kaldi

This is now the official location of the Kaldi project.

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

langchain icon langchain

🦜🔗 Build context-aware reasoning applications

lightfm icon lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

llama_index icon llama_index

LlamaIndex is a data framework for your LLM applications

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