1.struct lstmlib* lstmlib_create(int length); 参数 length:LSTM 接受输入序列的长度。 返回值 返回一个struct lstmlib*结构体指针,或者失败时返回NULL。 功能 创建一个 LSTM 单元,并返回一个结构体指针。可以对这个结构体指针使用 lstmlib 其他函数进行操作。lstmlib_create方法会自动调用lstmlib_random_params...
https://arxiv.org/abs/2312.10807. Contribute to hk-zh/language-conditioned-robot-manipulation-models development by creating an account on GitHub.
1.anna_lstm 基于RNN(LSTM)对《安娜卡列尼娜》英文文本的学习,实现一个字符级别的生成器。 文章地址:《安娜卡列尼娜》文本生成——利用TensorFlow构建LSTM模型 2.skip-gram 实现skip-gram算法的Word2Vec,基于对英文语料的训练,模型学的各个单词的嵌入向量。
1.anna_lstm 基于RNN(LSTM)对《安娜卡列尼娜》英文文本的学习,实现一个字符级别的生成器。 文章地址:《安娜卡列尼娜》文本生成——利用TensorFlow构建LSTM模型 2.skip-gram 实现skip-gram算法的Word2Vec,基于对英文语料的训练,模型学的各个单词的嵌入向量。
1.anna_lstm 基于RNN(LSTM)对《安娜卡列尼娜》英文文本的学习,实现一个字符级别的生成器。 文章地址:《安娜卡列尼娜》文本生成——利用TensorFlow构建LSTM模型 2.skip-gram 实现skip-gram算法的Word2Vec,基于对英文语料的训练,模型学的各个单词的嵌入向量。
About SRUis a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks. Average processing time of LSTM, conv2d and SRU, tested on GTX 1070 Reference: Simple Recurrent Units for Highly Parallelizable Recurrence [paper] ...
We demonstrate reduced training times for convolutional networks as well as LSTMs on common datasets. Reference implementation This is a reference implementation for the PowerSGD algorithm. Installation: pip install git+https://github.com/epfml/powersgd.git Usage: + from powersgd import PowerSGD, ...
git clone https://github.com/flennerhag/alstm; cd alstm python setup.py install Usage This implementation follows the LSTM implementation in the official (and constantly changing) PyTorch repo. You have an alstm_cell function and its aLSTMCell module wrapper. These apply to a given time step...
git clone git@github.com:philipperemy/tensorflow-multi-dimensional-lstm.git cd tensorflow-multi-dimensional-lstm # create a new virtual python environment virtualenv -p python3 venv source venv/bin/activate pip install -r requirements.txt # usage: trainer.py [-h] --model_type {MD_LSTM,HORIZONT...
github: https://github.com/CharlesShang/TFFRCNN github(C++ demo): https://github.com/YihangLou/FasterRCNN-Encapsulation-Cplusplus github: https://github.com/yhenon/keras-frcnn github: https://github.com/Eniac-Xie/faster-rcnn-resnet github(C++): https://github.com/D-X-Y/caffe-fa...