Pinned Repositories
blog-posts
causal-bert-pytorch
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
causal-learn
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
causica
ControlNet
Let us control diffusion models!
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
personal-website
jakepenzak's Repositories
jakepenzak/blog-posts
jakepenzak/causal-bert-pytorch
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
jakepenzak/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
jakepenzak/causal-learn
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
jakepenzak/causica
jakepenzak/ControlNet
Let us control diffusion models!
jakepenzak/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
jakepenzak/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in
jakepenzak/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jakepenzak/jakepenzak
Config files for my GitHub profile.
jakepenzak/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
jakepenzak/monarchmoney
Python API for Monarch Money
jakepenzak/personal-website
jakepenzak/spleeter
Deezer source separation library including pretrained models.
jakepenzak/stable-diffusion-webui
Stable Diffusion web UI
jakepenzak/trustworthyAI
trustworthy AI related projects
jakepenzak/ultimate-upscale-for-automatic1111