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[R] Hey there! I made a research proposal for a master programme application and I want some opinion about it. I wanted to develop an emotion embedded AI model that can generate back response to the recipients

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gemma 3 27b is underrated af. it's at #11 at lmarena right now and it matches the performance of o1(apparently 200b params).

NVIDIA

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parakeet-tdt-0.6b-v2

Task: automatic-speech-recognition

DeepSeek

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DeepSeek-Prover-V2-671B

ACE-Step

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ACE-Step-v1-3.5B

Task: text-to-audio

谢集

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ICEdit-MoE-LoRA

Task: image-to-image

DeepSeek

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DeepSeek-Prover-V2-7B

freepik

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F-Lite

Task: text-to-image

HiDream.ai

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HiDream-E1-Full

Task: any-to-any

StepFun

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Step1X-Edit

Task: image-to-image

DeepSeek

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DeepSeek-V3-0324

huggingface

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optimum

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

jax-ml

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jax

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

tracel-ai

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burn

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

modelscope

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FunASR

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

coqui-ai

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TTS

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

NVIDIA

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cuda-python

CUDA Python: Performance meets Productivity

microsoft

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onnxruntime

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

google-deepmind

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mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

NVIDIA

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Megatron-LM

Ongoing research training transformer models at scale