jiyounglee-0523's Stars
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
kernelmachine/demix
DEMix Layers for Modular Language Modeling
microsoft/MLC
Meta Label Correction for Noisy Label Learning
Jwoo5/fairseq-signals
A collection of deep learning models for ECG data processing based on fairseq framework
JetRunner/MetaDistil
Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
kekmodel/MPL-pytorch
Unofficial PyTorch implementation of "Meta Pseudo Labels"
roeeaharoni/unsupervised-domain-clusters
Code and data accompanying our ACL 2020 paper, "Unsupervised Domain Clusters in Pretrained Language Models".
EmilienDupont/neural-function-distributions
Pytorch implementation of Generative Models as Distributions of Functions 🌿
naver/gdc
Code accompanying our papers on the "Generative Distributional Control" framework
HMJiangGatech/MD_NMT_mixing_model
Multi-domain NMT with token-level mixing model
bayer-science-for-a-better-life/contrastive-reconstruction
Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
mingkai-zheng/WCL
Weakly Supervised Contrastive Learning
neuroailab/LocalAggregation-Pytorch
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
linusericsson/ssl-transfer
Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
wvangansbeke/Revisiting-Contrastive-SSL
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
AidenDurrant/SimCLR-Pytorch
An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR
SuperSupermoon/MedViLL
MedViLL official code. (Published IEEE JBHI 2021)
facebookresearch/luckmatters
Understanding Training Dynamics of Deep ReLU Networks
yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
kpandey008/DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
omriav/blended-diffusion
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
ermongroup/ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
ysharma1126/ssl_identifiability
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
facebookresearch/ConvNeXt
Code release for ConvNeXt model
angusturner/diffuse
PyTorch implementation of diffusion models.
ai-forever/ru-dolph
RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP
NVlabs/denoising-diffusion-gan
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
ronikobrosly/scipy_2022_causal_inference_tutorial
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session