Pinned Repositories
adventures_in_opencl
A tutorial series for learning OpenCL
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
mediacapture-worker
OpenCL-playgorund
This is a playground for OpenCL practices
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
shioajicaller
A Shioaji warp caller
sktime
A unified framework for machine learning with time series
ChiahungTai's Repositories
ChiahungTai/list_of_recommender_systems
A List of Recommender Systems and Resources
ChiahungTai/alphalens
Performance analysis of predictive (alpha) stock factors
ChiahungTai/anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
ChiahungTai/awesome-deep-reinforcement-learning-in-finance
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
ChiahungTai/benchmarking-gnns
Repository for benchmarking graph neural networks
ChiahungTai/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
ChiahungTai/csgm
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
ChiahungTai/disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
ChiahungTai/euler
A distributed graph deep learning framework.
ChiahungTai/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
ChiahungTai/GNNPapers
Must-read papers on graph neural networks (GNN)
ChiahungTai/Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
ChiahungTai/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
ChiahungTai/GoogleConceptualCaptioning
ChiahungTai/graph_nets
Build Graph Nets in Tensorflow
ChiahungTai/horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
ChiahungTai/Kashgari
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
ChiahungTai/kglib
Grakn Knowledge Graph Library (ML R&D)
ChiahungTai/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
ChiahungTai/numpy-ml
Machine learning, in numpy
ChiahungTai/python-cheatsheet
Comprehensive Python Cheatsheet
ChiahungTai/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
ChiahungTai/smore
SMORe: Modularize Graph Embedding for Recommendation
ChiahungTai/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
ChiahungTai/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
ChiahungTai/trading-bot
Stock Trading Bot using Deep Q-Learning
ChiahungTai/tsec
台灣上市上櫃股票爬蟲 Taiwan Stock Exchange Crawler
ChiahungTai/visual-grounding
Project page for "Visual Grounding in Video for Unsupervised Word Translation" CVPR 2020
ChiahungTai/vnpy_future
ChiahungTai/x-deeplearning
An industrial deep learning framework for high-dimension sparse data