HELL-TO-HEAVEN

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

open_clip

An open source implementation of CLIP.

AgentVerse

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

AI-Paper-Collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

CLIP_benchmark

CLIP-like model evaluation

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

Point-NN

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

reversal_curse

SPICE

Union14M

[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective

ccnn

Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.

obow

mvtorch

a Pytorch library for multi-view 3D understanding and generation

C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

TCL

Twin Contrastive Learning with Noisy Labels (CVPR 2023)

CEN

This is the official code release of the following paper: Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu , Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng . Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL 2022.

SSR_BMVC2022

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)

NPC

vointcloud

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)

MixPro

🔥MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer [Official, ICLR 2023]

Contrastive-Hierarchical-Clustering

This is the official code for the paper Contrastive Hierarchical Clustering (ECML PKDD 2023)

SEQ_HGNN

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

edgehetero-nodeproppred

Code to reproduce data transformation and experiment results for MSc DS project "Article Classification with Graph Neural Networks and Multigraphs."

BoSVW