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LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…
Document object mapper for pydantic and pymongo
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
OmniXAI: A Library for eXplainable AI
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A toolkit for pre-processing large source code corpora
Hypermodern Python Cookiecutter
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of exp…
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Visualising the Transformer encoder
Graph Neural Network Library for PyTorch