- Taiwan, Taipei
-
14:34
(UTC +08:00)
Stars
AI-powered tool for real-time interview question transcription and response generation.
Software Engineer Job Note,讓新手從0到1入門,有1到100的成長能力
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Minimal PyTorch implementation of YOLOv3
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
📚 Jupyter notebook tutorials for OpenVINO™
assistant tools for attention visualization in deep learning
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"
🔥🔥🔥 Official YOLOv7训练自己的数据集并实现端到端的TensorRT模型加速推断
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Pytorch implementation of Center Loss
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Lime: Explaining the predictions of any machine learning classifier
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)
SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固,暂停交互,请耐心等待】