Joker-Jerome

Zhaolong (Jerome) Yu's starred repositories

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Language:Jupyter NotebookMIT423500

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Language:Jupyter NotebookNOASSERTION4333800

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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IDGTargets

800

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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finance-vix

CBOE Volatility Index (VIX) time-series dataset including daily open, close, high and low.

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awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

MIT146500

SumGNN

[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.

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dca

Deep count autoencoder for denoising scRNA-seq data

Language:PythonApache-2.024100

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Language:LLVMNOASSERTION2763600

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

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Machine-Learning

机器学习原理

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Zillow-Kaggle

Solution for Zillow’s Home Value Prediction Competition on Kaggle

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Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

722000

DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

Language:Jupyter NotebookMIT167000

powsimR

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

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oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

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recommenders

Best Practices on Recommendation Systems

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DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

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Clinical-Trial-Parser

Library for converting clinical trial eligibility criteria to a machine-readable format.

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jupyterlab-variableInspector

Variable Inspector extension for Jupyterlab

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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awesome-network-analysis

A curated list of awesome network analysis resources.

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KnowledgeBase

Source code used to develop the OHDSI knowledge base of sources with information relevant for assessing assocations between drugs and health outcomes of interest.

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