搜索资源列表
tensorflow_template_application-master
- 机器学习基本练习，基于tensorflow的一个实现例子，用于帮助初级学者理解实现(basic test for machine learning, an example of tensorflow, help the beginners to understand)
e2e-gLSTM-sc-master
- 给图片生成英文描述，输入为图片，输出为句子(Image captioning, please refer to the source for more details: https://github.com/LuoweiZhou/e2e-gLSTM-sc)
NiftyNet-dev
- 医疗3d处理，即基于卷积神经网络的医疗影像分析平台(NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis)
text-classification-cnn-rnn-master
- 使用TensorFlow实现中文新闻类别分类(Using TensorFlow to classify Chinese news categories)
DrQA-master
- 这是facebook 阅读理解方面开源的代码(This is open source code for reading and understanding aspects of facebook)
iCQA-master
- Community Question Answering 社区问答系统(Intelligent Community Question Answering (iCQA) Framework)
assignment1
- 斯坦福大学CS231n深度学习课设1111(CS231n depth study in Stanford University 1111)
526901
- 这是一些常用的数值计算的算法,大部分是用Applet实现的,还有一些直接可以执行,()
auto_car-master
- 数值算法，避免误差在高阶非线性系统矩阵特征根中出现(Numerical algorithm of high order system)
mcrypt-2.6.8
- Loki97 is 128-bit block cipher that accepts a variable-length key. It was designed by Lawrie Brown, Josef Pieprzyk, and Jennifer Seberry. Loki97 was one of the 15 candidates for the AES.
deep_q_rl-master
- This package provides a Lasagne/Theano-based implementation of the deep Q-learning algorithm described in: Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierst
xgboost-master
- xgboost，基于python的，很好的工具箱，集成学习GDBT的升级版。(xgboost,based python,a good toolbox)
caffe-master
- windows下可以使用的caffe框架，错误较少可以快速安装使用(The caffe framework that can be used under windows, fewer errors can be quickly installed and used)
nfft-3.3.1.tar
- NFFT, Fourier transform2
evolution-strategies-starter-master
- 基于python语言下的典型进化策略算法实现代码(Evolutionary strategy algorithm implementation python code)
DeepMind-Atari-Deep-Q-Learner-master
- 基于python环境的简明深度强化学习深度Q学习实现代码(Concise deep intensive learning based on Python environment and deep Q learning implementation code)
yolo_tensorflow
- 基于YOLO的目标检测, 对十种物体进行识别和定位。(object detection based on YOLO, perform recognition and location to ten types of objects.)
bnn-master
- 一个高度优化的轻量深度学习前向框架，使用C/C++语言开发，跨平台，支持读取Caffe模型文件，主要处理卷积神经网络。与市面上大多数移动端解决方案不同，我们的量化压缩技术不仅针对模型的权重，还涉及到输入的特征向量压缩。针对这一特性我们在模型文件和内存大小得到裁剪的同时还对框架的性能做了大量优化。(A highly optimized lightweight deep learning forward framework, developed using C/C++ language, cross
CNN
- 通过卷积网络，自动实现对图片特征的提取，通过训练，得到有效的权值，进行图像分类(Through convolution network, automatic extraction of image features can be realized. Through training, effective weights can be obtained and image classification can be carried out.)
黑夜变白ToDayGAN-master
- 能然黑夜的图片变成白天，效果很逼真，很牛(If the picture of night turns into day, the effect is very vivid and cattle.)