Ryosuke Horiuchi's repositories
aiokafka
asyncio client for kafka
altius
Small ONNX inference runtime written in Rust
arrow-datafusion
Apache Arrow DataFusion SQL Query Engine
ClimSim
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
constellation
Distributed programming for Rust.
d3rlpy
An offline deep reinforcement learning library
Daft
The Python DataFrame for Complex Data
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.
guardrails
Adding guardrails to large language models.
kafka-python
Python client for Apache Kafka
ksql
The database purpose-built for stream processing applications.
lifelines
Survival analysis in Python
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
ort
A Rust wrapper for ONNX Runtime
pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
pycox
Survival analysis with PyTorch
pyo3-polars
Pyo3 extensions for polars
qdrant
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
scikit-survival
Survival analysis built on top of scikit-learn
the-algorithm
Source code for Twitter's Recommendation Algorithm
timely-dataflow
A modular implementation of timely dataflow in Rust
triton
Development repository for the Triton language and compiler
velox
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.