Oceanusity

Oceanusity's Stars

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.5k1111.1k1.6k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.4k1201.1k1.3k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.2k1031111.2k

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.6k3790588

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k3479201

• databricks/megablocks

  Language:Python1.2k1661175

• cwchenwang/awesome-3d-diffusion

  A collection of papers on diffusion models for 3D generation.

  86834534

• GaryYufei/AlignLLMHumanSurvey

  Aligning Large Language Models with Human: A Survey

  70130131

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  68425457

• thuml/awesome-multi-task-learning

  2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

  67717253

• HazyResearch/hyena-dna

  Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

  Language:Assembly602216682

• codecaution/Awesome-Mixture-of-Experts-Papers

  A curated reading list of research in Mixture-of-Experts(MoE).

  54214441

• junxia97/awesome-pretrain-on-molecules

  [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

  49719151

• allenai/reward-bench

  RewardBench: the first evaluation tool for reward models.

  Language:Python44156952

• snap-stanford/stark

  STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)

  Language:Python30621237

• RUC-GSAI/YuLan-Rec

  Language:Python28531919

• BUPT-GAMMA/GFMPapers

  Must-read papers on graph foundation models (GFMs)

  2745123

• jhpoelen/zenodo-upload

  upload big files to Zenodo using cURL, jq and bash

  Language:Shell23551139

• LechengKong/OneForAll

  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

  Language:Python18711523

• gle-bellier/flow-matching

  Annotated Flow Matching paper

  Language:Jupyter Notebook138115

• PKU-Alignment/beavertails

  BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).

  Language:Makefile112575

• LUOyk1999/tunedGNN

  [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

  Language:Python76106

• isayev/COMP6

  COMP6 Benchmark dataset for ML potentials

  39534

• luo-junyu/GALA

  GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation

  Language:Python37204

• Skyorca/Awesome-Graph-Domain-Adaptation-Papers

  Published papers focusing on graph domain adaptation

  31224

• PeterGriffinJin/Patton

  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)

  Language:Python24331

• Shen-Lab/GDA-SpecReg

  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python21410

• Graph-COM/Pair-Align

  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)

  Language:Python11200

• Meihan-Liu/24AAAI-A2GNN

  Rethinking Propagation for Unsupervised Graph Domain Adaptation

  Language:Python100

• WanyuGroup/AI-for-crystal-materials

  AI for crystal materials

  7200