BlogSource code for my personal blog
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AlphatoolsQuantitative finance research tools in Python
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Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
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Alpha Mindquantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
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PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Fastquantfastquant — Backtest and optimize your trading strategies with only 3 lines of code!
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ResearchNotebooks based on financial machine learning.
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GpufilterGPU Recursive Filtering
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Dscourses19ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)
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DalrImplementation of "Domain-adaptive deep network compression", ICCV 2017
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ChatbotChatbot based on Rasa Framework
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Adv fin ml exercisesExperimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
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Hottbox Tutorials📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
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CourseSlides and Jupyter notebooks
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Keras Faster RcnnFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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SkymapHigh-throughput gene to knowledge mapping through massive integration of public sequencing data.
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Neural networksThis is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
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IslplotLibrary to plot integer sets and maps
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Personal History ArchiveAn experiment in creating a dump of your personal browser history for analysis
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Particle Filter PrototypeParticle Filter Implementations in Python and C++, with lecture notes and visualizations
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S gd2Stress-based Graph Drawing by Stochastic Gradient Descent
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Neuromatch AcademyPreparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
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Artee.aiAI Generated Tees
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ResimnetImplementation of ReSimNet for drug response similarity prediction
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ShadowmusicA temporal music synthesizer
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Zalando PytorchVarious experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
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Symbolic MetamodelingCodebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
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Medium ArticleRepo for articles in my personal blog and Medium
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KaggleKaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.
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ChexpertCheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
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Mask Rcnn TensorflowFork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.
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Python for mlbrief introduction to Python for machine learning
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Nyc Ds AcademyIn-class exercises for Deep Learning course at NYC Data Science Academy
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Data driven science python demosIPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
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