Isaac Chung's repositories
strava-kudos
A Python tool to automatically give Strava Kudos to recent activities on your feed.
llama-cpp-python-chat
Simple command line chatbot powered by llama-cpp-python.
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
isaac-chung.github.io
isaac-chung.github.io
langchain
⚡ Building applications with LLMs through composability ⚡
llama_index
LlamaIndex (GPT Index) is a data framework for your LLM applications
ansible
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
FORB
"FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding", NeurIPS 2023 Datasets and Benchmarks Track
gorilla
Gorilla: An API store for LLMs
haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
home-assistant-core
:house_with_garden: Open source home automation that puts local control and privacy first.
LaVague
Automate automation with Large Action Model framework
llama-cpp-python
Python bindings for llama.cpp
MiniCPM
MiniCPM-2B: An end-side LLM outperforming Llama2-13B.
mteb
MTEB: Massive Text Embedding Benchmark
narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
open_clip
An open source implementation of CLIP.
open_flamingo
An open-source framework for training large multimodal models.
optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
scikit-learn
scikit-learn: machine learning in Python
self-rag
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.