Python library for experiment metrics logging into simply formatted local files.
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Python library for scalable Bayesian optimisation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
A data orchestrator for machine learning, analytics, and ETL.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
A PyTorch based deep learning library for drug pair scoring.
Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.
Model interpretability and understanding library for PyTorch.
Everything you need to know to build your own RAG application.
Accessible large language models via k-bit quantization for PyTorch.
A simple, but essential Bayesian optimization package, written in Python.
Ambrosia helps you clean up your LLM datasets using other LLMs.
An open source Python library focused on outlier, adversarial and drift detection.
Open-source Python library enabling ML model inspection and interpretation.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Python-zpar - Python bindings for, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image.
A collection of algorithms for image processing in Python.
Open-source project that creates or edits images with generative AI and text-based controls.