Hirofumi Tsuruta

LLM-Synthetic-Data. A live reading list for LLM data synthesis (Updated to July, 2025).

prov. A Python library for W3C Provenance Data Model (PROV)

OpenLLM. Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

paper-qa. High accuracy RAG for answering questions from scientific documents with citations

LLM4TS. Large Language & Foundation Models for Time Series.

awesome-data-valuation. 💱 A curated list of data valuation (DV) to design your next data marketplace

FoldFlow. FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation

AVIDa-hIL6. Code for NeurIPS 2023 paper "AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions"

pytorch-template. To be the world's best PyTorch project template.

sage. For calculating global feature importance using Shapley values.

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

GPy. Gaussian processes framework in python

hyperopt. Distributed Asynchronous Hyperparameter Optimization in Python

Ax. Adaptive Experimentation Platform

gpytorch. A highly efficient implementation of Gaussian Processes in PyTorch

botorch. Bayesian optimization in PyTorch

neural-tangents. Fast and Easy Infinite Neural Networks in Python

pyro. Deep universal probabilistic programming with Python and PyTorch

alibi. Algorithms for explaining machine learning models

AIX360. Interpretability and explainability of data and machine learning models

shawk. [PoC] A socket-based tracing system for discovering network service dependencies. (renamed from transtracer)