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[D] Don't remember the name of ML paper about how research done, maybe you know it?

[D] Submitting applied ML papers to NeurIPS

Anyone interested in creating a study group for breaking down and brainstorm various AI agents frameworks out there?

[D] Are weight offloading / weight streaming approaches like in Deepseek Zero used frequently in practice? (For enabling inference on disproportionately undersized GPUs)

The concept of fallback in agent pipelines and how Lyzr makes it surprisingly seamless

I've bitten off more then I can chew: Seeking advice on developing a useful Agent for my consulting firm

Any practical guides or frameworks to go from agent pattern theory to actual code?

[D] ICML 2025 Results Will Be Out Today!

The models developers prefer.

SUFE-AIFLM-Lab

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Fin-R1

modelscope

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

evidentlyai

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evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

tracel-ai

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burn

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

skypilot-org

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skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

microsoft

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onnxruntime

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

autogluon

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autogluon

Fast and Accurate ML in 3 Lines of Code

jax-ml

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

juliansteenbakker

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mobile_scanner

A universal scanner for Flutter based on MLKit. Uses CameraX on Android and AVFoundation on iOS.

mlfoundations

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open_clip

An open source implementation of CLIP.