XavierLinNow's Stars
machengcheng2016/CPE-LTSSL
Official code for "Complementary Experts for Long-tailed Semi-Supervised Learning" (AAAI'2024)
machengcheng2016/JGBA-pointcloud-attack
Official code of paper "Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification" (MM'2020)
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
drivendataorg/hateful-memes
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
yuewang-cuhk/awesome-vision-language-pretraining-papers
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
peteanderson80/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
airsplay/lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
songyouwei/ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
xunan0812/MIMN
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis - AAAI 2019
brightmart/roberta_zh
RoBERTa中文预训练模型: RoBERTa for Chinese
CLUEbenchmark/CLUEDatasetSearch
搜索所有中文NLP数据集,附常用英文NLP数据集
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
649453932/Bert-Chinese-Text-Classification-Pytorch
使用Bert,ERNIE,进行中文文本分类
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
DA-southampton/Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总,方便自己也分享给大家。有些我看过的,就会做简单的解读,没看过的,就先罗列一下,然后之后看了把解读更新上;涉及到搜索/推荐/自然语言处理。
caiqi/sample-weighting-network
Implementation of 'Learning a Unified Sample Weighting Network for Object Detection' [CVPR 2020]
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
facebookresearch/odin
A simple and effective method for detecting out-of-distribution images in neural networks.
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
bearpaw/pytorch-classification
Classification with PyTorch.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
shaoanlu/faceswap-GAN
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
deepfakes/faceswap
Deepfakes Software For All
cc-hpc-itwm/DeepFakeDetection
MegEngine/MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
ColumbiaDVMM/AutoGAN
PeterWang512/CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
donnyyou/torchcv
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision