jwyang/BPLMATLAB
Bayesian Program Learning model for one-shot learning
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Repositories
jwyang Repositories
jwyang/BigGAN-PyTorchPython
The author's officially unofficial PyTorch BigGAN implementation.
(1 Star) (0 Forks) (0 indexierte Issues) (0 offene good first issues)
jwyang/C3Net.pytorchPython
Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
(41 Stars) (3 Forks) (0 indexierte Issues) (0 offene good first issues)
jwyang/CARCMATLAB
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
(0 Stars) (2 Forks) (0 indexierte Issues) (0 offene good first issues)
jwyang/CDSSMLua
CDSSM implementation in torch
(3 Stars) (0 Forks) (0 indexierte Issues) (0 offene good first issues)
jwyang/CLIPJupyter Notebook
Contrastive Language-Image Pretraining
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jwyang/ConvNeXtPython
Code release for ConvNeXt model
(1 Star) (0 Forks) (0 indexierte Issues) (0 offene good first issues)
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 indexierte Issues) (0 offene good first issues)
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.
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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 indexierte Issues) (0 offene good first issues)
jwyang/DeepRLPython
Highly modularized implementation of popular deep RL algorithms by PyTorch
(0 Stars) (1 Fork) (0 indexierte Issues) (0 offene good first issues)
Deformable Convolutional Networks
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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 indexierte Issues) (0 offene good first issues)
jwyang/EasyOCRPython
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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jwyang/EasyR1Python
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
(0 Stars) (0 Forks) (0 indexierte Issues) (0 offene good first issues)
A PyTorch implementation of EfficientNet
(3 Stars) (1 Fork) (0 indexierte Issues) (0 offene good first issues)
Face Alignment by Explicit Shape Regression
(0 Stars) (1 Fork) (0 indexierte Issues) (0 offene good first issues)
jwyang/FaceXC++
A high performance open source face landmarks detector, based on explicit shape regression algorithm.
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jwyang/FastMaskRCNNPython
Mask RCNN in TensorFlow
(0 Stars) (2 Forks) (0 indexierte Issues) (0 offene good first issues)