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[D] I want to get into AI: machine learning, deep learning, but don't know where to start
Chinese local governments turn to DeepSeek’s AI to identify suspected corruption cases
[R] 4D Language Fields for Dynamic Scenes via MLLM-Guided Object-wise Video Captioning
Baidu releases X1, a (closed?) model that matches R1 and ERNIE 4.5, that matches GPT 4.5
Hugging Face Trending
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GitHub Trending
Popular repositories from GitHub• Updated 29 minutes ago
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
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.
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
notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.