qiujkx's repositories
Machine_Learning_Study_Path
机器学习过程中所看的书，视频和源码
machine-learning-1
从零基础开始机器学习之旅
The-LaTeX-thesis-template-of-UCAS
**科学院大学学位论文LaTeX模板
sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
morf
The MOOC Replication Framework (MORF)
pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
proxyee-down
http下载工具，基于http代理，支持多连接分块下载
GRU_to_predict_timeseries
使用pytorch搭建的循环神经网络在股票数据时间序列上的应用
DeepConvSep
Deep Convolutional Neural Networks for Musical Source Separation
kaggle-web-traffic
1st place solution
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
shaplets-python
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
edx2bigquery
Tool to convert & load data from edX platform into BigQuery
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Duilius-tf-RNN
Modular Recurrent Neural Network with LSTM and GRU for regressions on time series, built with tensorflow.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
picasso
:art: A CNN visualizer
edx-platform
The Open edX platform, the software that powers edX!
epslatex-cn
epslatex version 3 中译本
drmad
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
learn_dl
Deep learning algorithms source code for beginners
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
RNN_Text_Classify
Text classification using LSTM
ouroboros_paper
Code and experiments in vagrant for the Ouroboros prediction model for predicting at-risk students