buke2016
MSc. Student in Computer Science | Civil Engineer | Program Manager | Geospatial | Data Science.
Pinned Repositories
100-nlp-papers
100 Must-Read NLP Papers
1_Hour_Geopandas_Training
A practical introduction to Geospatial Data Analysis with Python
2021sp-final-project-filipwodnicki
Transit + OSMnx - Harvard Extension School CSCI E-29 Advanced Python for Data Science
books
A repository where I put all the books I have already read.
buke2016
Config files for my GitHub profile.
Finance-and-Quantitative-Modeling-for-Analysts-Specialisation
This course is available on Coursera, and here is my own note about this course. It is taught by University of Pennsylvania.
library
It might could be that some of the things included here do not equal endorsement or even that I agree with them.
osmnx-examples
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
Textbooks-and-study-material
Some textbooks and reference books I used in my engineering course in Computer Science
xarray
N-D labeled arrays and datasets in Python
buke2016's Repositories
buke2016/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
buke2016/nn-zero-to-hero
Neural Networks: Zero to Hero
buke2016/V2V4Real
[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"
buke2016/Financial-Derivative-Analysis-and-Simulation
Pricing and Analysis of Financial Derivative by Credit Suisse using Monte Carlo, Geometric Brownian Motion, Heston Model, CIR model, estimating greeks such as delta, gamma etc, Local volatility model incorporated with variance reduction.(For MH4518 Project)
buke2016/TERP
Thermodynamically Explainable Representations of AI and other black-box Paradigms
buke2016/peopleanalytics-regression-book
Handbook of Regression Modeling in People Analytics
buke2016/cumulative-table-design
This repository helps teach people how to correctly define and create cumulative tables!
buke2016/RL-book
Reinforcement Learning book
buke2016/common-coding-conventions
A concise and universal guide to clear software design.
buke2016/Cookbook
The Data Engineering Cookbook
buke2016/OpenCDA
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
buke2016/Setup-NVIDIA-GPU-for-Deep-Learning
buke2016/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
buke2016/handcalcs
Python library for converting Python calculations into rendered latex.
buke2016/ml-NLP-road
Machine Learning Resources, Practice and Research
buke2016/Bella-PL
An Interpreter for Bella Extension
buke2016/Fractals
Has over 10 different kinds of Fractals
buke2016/Data_Science
Data lab for 2030 Agenda
buke2016/Awesome-Geospatial
Long list of geospatial tools and resources
buke2016/tools
Codelabs management & hosting tools
buke2016/Data-Engineering-with-Databricks-Cookbook
Data Engineering with Databricks Cookbook, published by Packt
buke2016/bayesian-ab-test
buke2016/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
buke2016/pymc
Bayesian Modeling and Probabilistic Programming in Python
buke2016/growthbook
Open Source Feature Flagging and A/B Testing Platform
buke2016/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
buke2016/yolov10
YOLOv10: Real-Time End-to-End Object Detection
buke2016/scikit-mobility
scikit-mobility: mobility analysis in Python
buke2016/Mastering-NLP-from-Foundations-to-LLMs
Mastering NLP from Foundations to LLMs, Published by Packt
buke2016/Python-Data-Cleaning-Cookbook-Second-Edition
Python Data Cleaning Cookbook, Second Edition - Published by Packt