jiyounglee-0523's Stars
songweige/Contrastive-Learning-with-Non-Semantic-Negatives
Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
sangyun884/Diffusion-Models-Seminar
stanfordmlgroup/VisualCheXbert
Addressing the Discrepancy Between Radiology Report Labels and Image Labels
lucidrains/nuwa-pytorch
Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
lucidrains/g-mlp-gpt
GPT, but made only out of MLPs
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
hojonathanho/diffusion
Denoising Diffusion Probabilistic Models
Yaoming95/CIAT
code repo for EMNLP'21 Finding Counter-Interference Adapter for Multilingual Machine Translation
lightly-ai/lightly
A python library for self-supervised learning on images.
openai/guided-diffusion
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
facebookresearch/SLIP
Code release for SLIP Self-supervision meets Language-Image Pre-training
maple-research-lab/AdCo
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
openai/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
yxuansu/TaCL
[NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
easonnie/mlp-vil
MLPs for Vision and Langauge Modeling (Coming Soon)
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
cisnlp/simalign
Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)
microsoft/SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
state-spaces/s4
Structured state space sequence models
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
facebookresearch/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
ziyi-yang/LIR
The official implementation for the EMNLP 2021 paper "A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations".
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
google-research/fnc
Sense-GVT/DeCLIP
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
LGAI-Research/L-Verse
L-Verse: Bidirectional Generation Between Image and Text
zhijing-jin/Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
SuperSupermoon/GPU_TPU_usage
torch DDP, TPU, nsml (naver AI research env.), etc.