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abu icon abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习)

advanced-java icon advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务等领域知识,后端同学必看,前端同学也可学习

aimlesslib icon aimlesslib

AimlessLib is a Java library with no intention.

aimto408 icon aimto408

🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的,当然你如果4门课中的部分也可以看看,欢迎star📝📝📝,祝你们一战成硕🏆🏆🏆~~(更新部分复试内容,2023年王道天勤pdf上新,网盘下载)

ansj_seg icon ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

book3_elements-of-mathematics icon book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;本册有,583幅图,136个代码文件,其中24个Streamlit App;状态:清华社五审五校中;Github稿件基本稳定,欢迎提意见,会及时修改

book4_power-of-matrix icon book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;本册有,584幅图,81个代码文件,其中18个Streamlit App;状态:清华社五审五校中;Github稿件基本稳定,欢迎提意见,会及时修改

caffe-face icon caffe-face

This branch is developed for deep face recognition

chainer-char-rnn icon chainer-char-rnn

karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-chinese icon char-rnn-chinese

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

chatbots-library icon chatbots-library

Chatbots is a library for the Processing programming language and environment that provides classes implementing a variety of chatter-bot algorithms: the classic Eliza, AIML-based ones like Rebecca and Alice, etc.

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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