Pinned Repositories
haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
automatic-differentiation
Final Project for Harvard University CS-207 Fall 2022
c_cpp_primer
IACS C/C++ primer
Carbon2Chem
Final Report for Harvard AM-205 Numerical Methods
crypto-streaming
Real time data streaming and analysis
gruvbox-darker.nvim
Super dark gruvbox based theme for neovim
neovim-config
Who needs a mouse?
RWH
mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
TemporalScope
TemporalScope: Scientifically driven Model-Agnostic Temporal Feature Importance Analysis with SHAP & partitioning algorithms (supporting Pandas, Polars, Modin, PyArrow, Dask).
kanenorman's Repositories
kanenorman/neovim-config
Who needs a mouse?
kanenorman/crypto-streaming
Real time data streaming and analysis
kanenorman/gruvbox-darker.nvim
Super dark gruvbox based theme for neovim
kanenorman/automatic-differentiation
Final Project for Harvard University CS-207 Fall 2022
kanenorman/c_cpp_primer
IACS C/C++ primer
kanenorman/Carbon2Chem
Final Report for Harvard AM-205 Numerical Methods
kanenorman/cs243
kanenorman/data-labeling
Lecture Exercise September 19th
kanenorman/data-science-docker
Docker setup for common data science tools (pandas, numpy, pytorch, etc.)
kanenorman/expects
Expects is an expressive and extensible TDD/BDD assertion library for Python.
kanenorman/iterative-methods
Example of how to solve a partial differential equation with iterative methods
kanenorman/kanenorman
kanenorman/kanenorman.github.io
Kane's Website
kanenorman/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
kanenorman/haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
kanenorman/helix-configs
Personal Configs for Helix
kanenorman/korali
High-performance framework for uncertainty quantification, optimization and reinforcement learning.
kanenorman/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
kanenorman/scientific_computing
Notes and Resources for Scientific Computing
kanenorman/scikit-learn
scikit-learn: machine learning in Python