jwyang/BPLMATLAB
Bayesian Program Learning model for one-shot learning
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
Dépôts
Dépôts de jwyang
jwyang/BigGAN-PyTorchPython
The author's officially unofficial PyTorch BigGAN implementation.
(1 star) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/C3Net.pytorchPython
Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
(41 stars) (3 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/CARCMATLAB
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
(0 stars) (2 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/CDSSMLua
CDSSM implementation in torch
(3 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/CLIPJupyter Notebook
Contrastive Language-Image Pretraining
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/ConvNeXtPython
Code release for ConvNeXt model
(1 star) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/ConvNet-1Cuda
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
(2 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/DeepLearnToolboxMATLAB
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
(26 stars) (20 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/DeepRLPython
Highly modularized implementation of popular deep RL algorithms by PyTorch
(0 stars) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
Deformable Convolutional Networks
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/Detectron.pytorchPython
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
(1 star) (3 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/EasyOCRPython
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
(1 star) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/EasyR1Python
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
A PyTorch implementation of EfficientNet
(3 stars) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
Face Alignment by Explicit Shape Regression
(0 stars) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
jwyang/FaceXC++
A high performance open source face landmarks detector, based on explicit shape regression algorithm.
(0 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
jwyang/FastMaskRCNNPython
Mask RCNN in TensorFlow
(0 stars) (2 forks) (0 issues indexées) (0 good first issues ouvertes)