Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Python library that provides enhanced prompt creation and output parsing for IBM Granite models

Mellea is a library for writing generative programs.

Python framework which enables you to transform how a user calls or infers an IBM Granite model and how the output from the model is returned to the user.

A high-throughput and memory-efficient inference and serving engine for LLMs

Model components of the Llama Stack APIs

Fred's development fork of https://github.com/CODAIT/text-extensions-for-pandas

SGLang is a fast serving framework for large language models and vision language models.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"

Jupyter notebooks that analyze COVID-19 time series data

Computation using data flow graphs for scalable machine learning

GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs

A conda-smithy repository for text_extensions_for_pandas.

Tools used to generate the SciPy conference proceedings

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.

Mirror of Apache Spark

scikit-learn: machine learning in Python

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

This is a prescriptive maintenance implementation for real time analytics on event stream coming from Reefer Container. The solution include a reefer simulator, a scoring microservice, a container …

IntelliJ plugin for Bazel projects

TensorFlow documentation

Identify objects in images using a third-generation deep residual network.