hetankevin Goto Github PK
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Analysis of traffic accidents in Chicago in 2019. Density-based heatmaps of accidents (way more now). Unlike most of the notebooks here, this one's done in R.
A professor I wanted to do research with asked me to read up on copulas before an interview. I ended up doing a bit more than just reading. This is based off the work of Thomas Wiecki (https://twiecki.io/blog/2018/05/03/copulas/).
A quick resource put together for a club meeting, as a dummy's guide to exploratory data analysis, clustering and dimensionality reduction.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
My English GSI kindly allowed me to turn in my third paper in the form of a Jupyter Notebook, so here we are. We have a literature review on ToMATo clustering. Citations can only be seen with the cite2c extension, but I've managed to screenshot the notebook and upload it as Assignment3.jpg
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Trying to find a geometric interpretation of the output of the encoder side of a VAE trained on Mario worlds 1-1, 1-2, 1-3.
Reinforcement learning, module as part of a larger project with the aim of using this as a confirmation that a generated Mario level is playable.
Learning Mixtures of Continuous-Time Markov Chains
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Lisboa).
Financial Portfolio Optimization Routines in Python
Folklore facts on probability distribution learning, testing, and whatever-ing
Prototype for a restaurant app I'm working on with danlliu.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Daniel and I were trying to save UM students from bad schedule decisions, but realized that we were in over our heads here. It's a huge, huge tree of prerequisites that we don't have the data for. Instead, here we have two optimization heuristics (hill climbing and simulated annealing), the core of the project, written in Python.
Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.