高璟琦's repositories
llm-colosseum
Make LLMs fight for their survival! The new way to evaluate the quality of an LLM
chatgpt-arxiv-extension
A browser extension that enhance search engines with ChatGPT
ComiRec-TF
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
ELECRec
Training Sequential Recommenders as Discriminators (SIGIR'22)
langchain
🦜🔗 Build context-aware reasoning applications
LeanDojo
Tool for data extraction and interacting with Lean programmatically.
litellm
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
llama.cpp.up
Port of Facebook's LLaMA model in C/C++
llama_index
LlamaIndex is a data framework for your LLM applications
LlamaIndexTS
LlamaIndex is a data framework for your LLM applications
MatchBox
A configurable, tunable, and reproducible library for candidate item matching
OpenDevin
🐚 OpenDevin: Code Less, Make More
pgvector
Open-source vector similarity search for Postgres
ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
RecBole-1
A unified, comprehensive and efficient recommendation library
Recbole-Debias
RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
RecBole-GNN
Efficient and extensible GNNs enhanced recommender library based on RecBole.
RecBole2.0
An up-to-date, comprehensive and flexible recommendation library
ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
ReProver
Retrieval-Augmented Theorem Provers for Lean
SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
UniSRec
[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".
unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
useful-scripts
🐌 useful scripts for making developer's everyday life easier and happier, involved java, shell etc.
WildBench
Benchmarking LLMs with Challenging Tasks from Real Users