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PyTorch Extension Library of Optimized Scatter Operations
Python package built to ease deep learning on graph, on top of existing DL frameworks.
[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
DeepMol: A Machine and Deep Learning Framework for Computational Chemistry
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Lime: Explaining the predictions of any machine learning classifier
A playbook for systematically maximizing the performance of deep learning models.
A game theoretic approach to explain the output of any machine learning model.
Fast and customizable framework for automatic ML model creation (AutoML)
Papers for normalization techniques, released codes collections.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Super easy library for BERT based NLP models
A learning rate range test implementation in PyTorch
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Code for "Detector-Free Structure from Motion", CVPR 2024
GStreamer pipelines and CLI commands for different GStreamer based features (process MPEG2-TS files, get video from DVB, deinterlace video, capture RTSP stream etc.)