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[D] 10 Fallacies of MLOps

Microsoft

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NextCoder-32B

Task: text-generation

MIT HAN Lab

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nunchaku-flux.1-kontext-dev

Black Forest Labs

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FLUX.1-Kontext-dev-onnx

Google

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videoprism

Task: video-classification

SUFE-AIFLM-Lab

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Fin-R1

lukasmasuch

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

tracel-ai

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burn

Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

huggingface

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transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

josephmisiti

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

microsoft

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qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

deepspeedai

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Project-HAMi

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HAMi

Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

cleanlab

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cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.