korts-lew's Stars
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
korts-lew/gestur
An official PyTorch implementation of "Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models", OOD-CV Workshop in ICCV'23
liyunqianggyn/Deep-Unsupervised-Image-Hashing
Implementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hashing by Maximizing Bit Entropy
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
hyperconnect/trusthresh
An official codebase for the paper, "Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild", WSDM'23
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
khanrc/miro
Official PyTorch implementation of MIRO (ECCV 2022)