hyfrey

hyfrey

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Location:Shanghai, Hangzhou

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hyfrey's starred repositories

kueue

Kubernetes-native Job Queueing

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outlines

Structured Text Generation

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treelite

Universal model exchange and serialization format for decision tree forests

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fil_backend

FIL backend for the Triton Inference Server

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MLServer

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

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hey

HTTP load generator, ApacheBench (ab) replacement

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distilabel

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

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whisper.cpp

Port of OpenAI's Whisper model in C/C++

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langchain

🦜🔗 Build context-aware reasoning applications

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ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

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gjson

Get JSON values quickly - JSON parser for Go

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feathr

Feathr – A scalable, unified data and AI engineering platform for enterprise

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DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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or-tools

Google's Operations Research tools:

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volcano

A Cloud Native Batch System (Project under CNCF)

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gluonts

Probabilistic time series modeling in Python

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laktory

A DataOps framework for building a lakehouse.

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dill

serialize all of Python

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kornia

Geometric Computer Vision Library for Spatial AI

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iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.

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onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

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llvmlite

A lightweight LLVM python binding for writing JIT compilers

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llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

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docker-clang

Dockerfiles for Clang and LLVM

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magika

Detect file content types with deep learning

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minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

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