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alphagomokuzero

An illustration program which visualizes the MCTS mechanism inside AlphaZero in order to provide a better understanding of how an AI makes decisions. 一个通过可视化AlphaZero中的蒙特卡洛树搜索来解释AI决策方式的程序。

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

alphazero_omok

Omok_AI machine following alphago zero algorithm

anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

bigdata_capstone

Bigdata capstone designs storage

ctgan

Conditional GAN for Tabular Data

ctgan-tf

📊 TensorFlow 2.X implementation of Conditional Tabular Generative Adversarial Network.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

easy_analysis

It is a simple tool for easily analysis some tasks using random forest and XGBoost

folium_sangkwon

ljk423.github.io

Deep Learning & Machine Learning Blog

models

Models and examples built with TensorFlow

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

recommenders

Best Practices on Recommendation Systems

recsys

various recommend system using xlearn, dlrm using openrec, deepfm and xdeepfm using deepCTR

redball_reinforcement_learining

rl package using redball environment includes DQN, PPO, Q-learning, Non-rl agents

sentiment-using-w2v-and-rnn

It's kind of sentiment analysis using word2vec weights and LSTM model

stacking-bidirectional-lstm

This model is an integrated stacking version using 3 bidirectional LSTM and 1 Meta bidirectional LSTM

tf-tabnet

A Tensorflow 2.0 implementation of TabNet.

wine-level-classifier

Classify wines into several levels using Bagging, RF, Xgboost

word2vec

Google Word2vec Source Code

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.