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DSPy: The framework for programming—not prompting—foundation models
ControlLLM: Augment Language Models with Tools by Searching on Graphs
A playbook for systematically maximizing the performance of deep learning models.
Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
An Interview Primer for Quantitative Finance
A toolkit to create, launch and monitor SLURM jobs over existing python scripts.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A list of papers that studies Novel Class Discovery
Data and Baselines for AStitchInLanguageModels dataset
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Tools and libraries to run neural networks in Minecraft ⛏️
COEP's Hacktoberfest Repository
Datasets, tools, and benchmarks for representation learning of code.
scikit-learn contrib estimators