tq3940

tq3940's Stars

• Renbangbang/CN-exercises

  计算机网络：自顶向下方法 （原书第七版）陈鸣译 课后习题参考答案（中文版+英文版）

  154141

• XieYSheng/exercises_answers

  计算机网络：自顶向下方法 （原书第七版）陈鸣译 课后习题参考答案（中文版+英文版）；计算机系统基础（第2版）袁春风 课后习题参考答案；操作系统教程（第5版）费翔林 课后习题参考答案；数据结构（用C++描述）殷人昆）课后习题参考答案；算法设计与分析 黄宇 课后习题参考答案；

  12

• jsksxs360/How-to-use-Transformers

  Transformers 库快速入门教程

  Language:Python999129

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python872134

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  76868

• tq3940/Apple-Banana-Orange-Detection

  使用 TensorFlow Object Detect API 完成对苹果、香蕉、橙子的目标检测。

  Language:Python51

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k45.8k

• alexandremartens/Backgammon

  Backgammon UI with AI in Python

  Language:Python3

• chanddu/Backgammon-python-numpy-

  Implemented a expectiminimax agent (2-ply search) with alpha – beta pruning and forward pruning (to reduce the branching factor in the game tree) to determine the best move give the state of the board.

  Language:Python34

• tq3940/Expectiminimax-Backgammon

  基于 Expectiminimax 的西洋双陆棋博弈，参考了alexandremartens 、chanddu等大佬的有关项目

  Language:Python2