awesome-tensorflow2
github.com/1044197988/awesome-tensorflow2 ↗基于Tensorflow2开发的优秀扩展包及项目
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105
Curated Resources
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Tutorials 💛💛💛💛💛Model 💛💛💛💛💛Projects 💛💛💛💛💛Other 💛💛💛💛💛
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me object detection 目标检测 resources from awesome-tensorflow2"
Installation instructions →What's inside
Model 💛💛💛💛💛
- 1044197988/Centernet-Tensorflow2.0Object detection 目标检测
- 1044197988/TF.Keras-Commonly-used-modelsClassification 分类
- akanyaani/gpt-2-tensorflow2.0NLP Model 自然语言处理模型
- bonlime/keras-deeplab-v3-plusSegmentation 分割
- calmisential/MobileNetV3_TensorFlow2Classification 分类
- calmisential/TensorFlow2.0_FasterRCNNObject detection 目标检测
Projects 💛💛💛💛💛
Other 💛💛💛💛💛
- AakashKumarNain/AugMix_TF2新型数据处理技术
- AmazaspShumik/mtlearn使用tensorflow 2构建的多任务学习包
- breadbread1984/GCN-tf2.0GCN图神经网络
- cheungdaven/DeepRec推荐系统和CTR预测模型
- danaugrs/huskarl强化学习
- danielegrattarola/spektralSpektral是一个基于Keras API和TensorFlow 2的用于图深度学习的Python库。该项目的主要目标是提供一个简单而灵活的框架来创建图神经网络（GNN）。
Showing a sample of 105 resources. View the full list on GitHub →