jbdatascience
I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Netherlands
Pinned Repositories
AI_Supply_Chain
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
Bambi_resources
Educational resources
causal_inference_book
R Code for Causal Inference by Hernán and Robins
Data-Analysis
Data Analysis Using Python
Data-science
Collection of useful data science topics along with code and articles
data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
Deep-math-machine-learning.ai
A blog which talks about machine learning, deep learning and the Math. and Machine learning algorithms written from scratch.
deepprot
machine learning for protein engineering
fair-classification
Python code for training fair logistic regression classifiers.
jbdatascience's Repositories
jbdatascience/PermutationCCC
Repository for codes for Permutation compression complexity causality
jbdatascience/acme
A library of reinforcement learning components and agents
jbdatascience/AI_Researcher
jbdatascience/alphazero-general
A clean, fast, and generalised implementation of Deepmind's distinguished AlphaZero in PyTorch.
jbdatascience/Berkeley-Crossword-Solver
jbdatascience/causal-rl
jbdatascience/causalnlp
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
jbdatascience/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
jbdatascience/DefakeHop
Official code for DefakeHop: A Light-Weight High-Performance Deepfake Detector
jbdatascience/Dimensionality_reduction-1
jbdatascience/ds_template
jbdatascience/Gooey
Turn (almost) any Python command line program into a full GUI application with one line
jbdatascience/HYPER-brain-decoding-framework-
jbdatascience/hyperimpute
A framework for prototyping and benchmarking imputation methods
jbdatascience/JudeasRx
graphical app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
jbdatascience/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
jbdatascience/learning-repo
This is my public notebook hub with notebooks that explain various statistical methods, machine learning algorithms, deep learning models, or image processing techniques.
jbdatascience/llm-examples
Streamlit LLM app examples for getting started
jbdatascience/Mastering-Tableau-2021
Mastering Tableau 2021 published by Packt
jbdatascience/materials
Bonus materials, exercises, and example projects for our Python tutorials
jbdatascience/p05-olist-customer-rating-prediction
jbdatascience/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
jbdatascience/streamlit-sales-dashboard
jbdatascience/synthesized-notebooks
Discover the art of enhancing your data using generative modelling in these notebooks.
jbdatascience/Tractable-Neural-Causal-Model
Official code repository to the corresponding paper.
jbdatascience/understanding-umap
Understanding the theory behind UMAP
jbdatascience/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
jbdatascience/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
jbdatascience/xcit
Official code Cross-Covariance Image Transformer (XCiT)
jbdatascience/YouTube-Blog
Codes to complement YouTube videos and blog posts on Medium.