JiachengCheng96

CLIP-ViL

[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

coco-labels

The labels for object categories in COCO dataset

Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

distro

Unofficial maintenance repository of Torch7. It supports CUDA10.1, Volta, Turing, Docker https://hub.docker.com/r/nagadomi/torch7

high_performance_python_2e

Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly

Learning-Deep-Classifiers-Consistent-with-Fine-Grained-Novelty-Detection

Learning-with-bounded-instance-and-label-dependent-label-noise

oir

OIR Segmentation

JiachengCheng96/Learning-Deep-Classifiers-Consistent-with-Fine-Grained-Novelty-Detection

JiachengCheng96/Learning-with-bounded-instance-and-label-dependent-label-noise

JiachengCheng96/CLIP-ViL

[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

JiachengCheng96/Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

JiachengCheng96/high_performance_python_2e

Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly