Pinned Repositories
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
cnnhwpe
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
IKC
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
make-a-video-pytorch
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Multi-Object-Tracking
Repository for the course "Multi-Object Tracking for Automotive Systems" at EDX Chalmers University of Technology
ncnn
NTU_MSAI_AI6121_ComputerVision
[AI6121] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6121 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
task1
OkayaYA's Repositories
OkayaYA/task1
OkayaYA/filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
OkayaYA/ncnn
OkayaYA/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
OkayaYA/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OkayaYA/make-a-video-pytorch
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
OkayaYA/IKC
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
OkayaYA/cnnhwpe
OkayaYA/NTU_MSAI_AI6121_ComputerVision
[AI6121] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6121 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
OkayaYA/Multi-Object-Tracking
Repository for the course "Multi-Object Tracking for Automotive Systems" at EDX Chalmers University of Technology