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DeepSeek-Prover-V2

I made my AI think harder by making it argue with itself. It works stupidly well

An illustrated guide to automatic sparse differentiation

An illustrated guide to automatic sparse differentiation

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You can run Qwen3-30B-A3B on a 16GB RAM CPU-only PC!

Llama 4 reasoning 17b model releasing today

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Qwen3-30B-A3B runs at 12-15 tokens-per-second on CPU

DeepSeek

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DeepSeek-Prover-V2-671B

StepFun

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Step1X-Edit

Task: image-to-image

HiDream.ai

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HiDream-E1-Full

Task: any-to-any

NVIDIA

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parakeet-tdt-0.6b-v2

Task: automatic-speech-recognition

freepik

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F-Lite

Task: text-to-image

DeepSeek

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DeepSeek-V3-0324

NousResearch

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Minos-v1

Task: text-classification

HiDream.ai

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HiDream-I1-Full

Task: text-to-image

NVIDIA

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DAM-3B

Task: image-text-to-text

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

jax-ml

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jax

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

huggingface

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more