cs-giung

Pinned Repositories

bdlx
bdlx: JAX implementation of Bayesian deep learning methods
Language:Python1 2 00
course-dl-TP
"Overview on Validity of Network-based Adversarial Training"
Language:Python9 4 01
distill-latentbe
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation (ICML 2022)
Language:Python4 1 01
face-detection-pytorch
Face detection algorithms in PyTorch.
Language:Python75 8 522
FSRNet-pytorch
PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)
Language:Python54 5 168
giung2
Language:Python5 3 02
giung2-jax
Language:Python5 2 00
lipsum-ft
Language:Python1 1 00
swa
Averaging Weights Leads to Wider Optima and Better Generalization
Language:Python3 2 01
transformerx
Transformerx: JAX implementation of modern transformers
Language:Python4 2 00

cs-giung's Repositories

cs-giung/face-detection-pytorch
Face detection algorithms in PyTorch.
Language:Python75 8 522
cs-giung/FSRNet-pytorch
PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)
Language:Python54 5 168
cs-giung/course-dl-TP
"Overview on Validity of Network-based Adversarial Training"
Language:Python9 4 01
cs-giung/giung2
Language:Python5 3 02
cs-giung/giung2-jax
Language:Python5 2 00
cs-giung/distill-latentbe
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation (ICML 2022)
Language:Python4 1 01
cs-giung/transformerx
Transformerx: JAX implementation of modern transformers
Language:Python4 2 00
cs-giung/swa
Averaging Weights Leads to Wider Optima and Better Generalization
Language:Python3 2 01
cs-giung/bdlx
bdlx: JAX implementation of Bayesian deep learning methods
Language:Python1 2 00
cs-giung/lipsum-ft
Language:Python1 1 00
cs-giung/sam
Sharpness-aware Minimization for Efficiently Improving Generalization
Language:Python1 2 00
cs-giung/centermask2
CenterMask2 on top of detectron2, in CVPR 2020
Language:Python0 2 00
cs-giung/course-ml-TP
"Experimental Analysis of Dimensionality Reduction"
Language:Jupyter Notebook0 2 00
cs-giung/course-os
Language:C1 0
cs-giung/cs-giung.github.io
Language:SCSS1 0
cs-giung/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Language:Python1 0
cs-giung/edward2
A simple probabilistic programming language.
cs-giung/FaceDetection-DSFD
Language:Python2 0
cs-giung/giung2-dev
Language:Python1 0
cs-giung/google-research
Google Research
Language:Jupyter Notebook1 0
cs-giung/lottery-ticket-imagenet
Language:Python1 0
cs-giung/Neural-Process-Family
Neural Process implementations in JAX and PyTorch
Language:Jupyter Notebook0 0
cs-giung/pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Language:Python1 0
cs-giung/test
1 0
cs-giung/torch-llm
cs-giung/tpu-setup
Language:Shell1 0
cs-giung/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
cs-giung/vision_transformer