HamidiMassinissa
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Experiment for General E(2)-Equivariant Steerable CNNs
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Aligning Large Language Models with Human: A Survey
Dataset to assess the disentanglement properties of unsupervised learning methods
Continual Learning papers list, curated by ContinualAI
Single-cell analysis in Python. Scales to >1M cells.
MLIA / xomx
Forked from perrin-isir/xomxa python library providing data processing and machine learning tools for computational omics, with emphasis on explainability
A collection of model transferability estimation methods.
Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)
Schema definitions and Python types for Medical Event Data Standard, a standard for medical event data such as EHR and claims data
An up-to-date list of works on Multi-Task Learning
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
An open-source framework for training large multimodal models.
PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Detection of the structural, evolutionary and functional relationship between different proteins and protein families requires comparative analysis of their amino acid sequences through multiple se…