turbolt's repositories
skorch
A scikit-learn compatible neural network library that wraps PyTorch
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
how-to-train-your-neural-net
Deep learning using PyTorch.
FBP
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大博彩公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本:(第三轮目前13中12) 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19日:34让负(正确) ... 1.0版本(第一轮为11中9) 2.0版本(第二轮13中11).
scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
trading-bot
Stock Trading Bot using Deep Q-Learning
resume-latex-template
A minimalistic resume template in LaTeX.
models
Models and examples built with TensorFlow
contextualbandits
Python implementations of contextual bandits algorithms
Categorical-Embedding-for-House-Prices-in-Pytorch
Categorical Embedding done for the house prices tabular data.
SSR
Semi-Supervised Regression
pytorch-examples
Simple examples to introduce PyTorch
Colley_Rankings
Python implementation of Colley Ranking system
ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
academic-kickstart
Easily create a beautiful website using Academic and Hugo
keras
Deep Learning for humans
boltzmann-machines
Boltzmann Machines in TensorFlow with examples
hypersearch
Hyperparameter optimization for PyTorch.
mean-teacher
A state-of-the-art semi-supervised method for image recognition
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Bank-Marketing-Campaign-Analysis
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
seanabu.github.io
personal blog
SportsRank
PageRank Applied to Sports Teams
stancon18
A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
RTFAP2
Real-Time Fraud Analysis and Prevention Using Kafka, Spark and Cassandra with a nodejs ReST Server
IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
Basketball-Game-Prediction
Use deep neural network to predict basketball game