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pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

paper-reading

深度学习论文精读

pkuseg-python

python版本：高准确度中文分词工具，简单易用，跟现有开源工具相比大幅提高了分词的准确率。

policy-gradient

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

pysc2-rl-agent

(D)RL Agent For PySC2 Environment

python-for-data-analysis

An introduction to data science using Python and Pandas with Jupyter notebooks.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorchzerotoall

recommenders

Recommender Systems

reinforcement-learning

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

rocket-lander

SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.

scattertext-pydata

Notebooks for the Seattle PyData 2017 talk on Scattertext

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

sec-dev-in-action-src

《白帽子安全开发实战》配套代码

spark-sklearn

Scikit-learn integration package for Spark

springcore0day

SpringCore0day from https://share.vx-underground.org/ & some additional links

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

stock-price-forecasting

An attempt to use natural language processing techniques in order to aid stock price forecasts.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

ta

Technical Analysis Library in Python

talkingdata-adtracking-fraud-detection

My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)

tdb

Interactive, node-by-node debugging and visualization for TensorFlow

tencent_ads_algo_2018

This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.

tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

tensorflow-a3c

TensorFlow implementation of A3C

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.