Ben's repositories
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
AnomalyDetection
Twitter's Anomaly Detection in Pure Python
ChinesePoemGeneration
基于深度学习的古诗生成(deep learning based Chinese poem generation)
DeOldify
A Deep Learning based project for colorizing and restoring old images
fastai-v3-projects
Experiments for fast.ai V3 course.
fastai2coreml
fastai --> onnx --> coreml example
gpFlappyBird
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
iFeature
iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
ipyleaflet
A Jupyter - Leaflet.js bridge
kaggle-vsb-power
:zap: 13th place solution
kesci-sentiment-classification
科赛文本情感分类模型搭建项目
netron
Visualizer for deep learning and machine learning models
osbrain
osBrain - A general-purpose multi-agent system module written in Python
pycallgraph
pycallgraph is a Python module that creates call graphs for Python programs.
pyculiarity
A Python port of Twitter's AnomalyDetection R Package
pyschedule
pyschedule - resource scheduling in python
pytest-ipynb
Plugin for pytest to run IPython notebook cells as unit tests
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
route-optimizer-machine-learning
Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.
run_length_encoding
run length encoding functions for numpy/tensorflow
seglearn
Python module for machine learning time series:
Time-Series
The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regression problems, as well as compare performance to more traditional statistical methods.
time-series-h2o-automl-example
Time-series forecasting using H2O's AutoML example