jwyang / DeepLearning-500-questions
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
☆25Updated 6 years ago
Alternatives and similar repositories for DeepLearning-500-questions:
Users that are interested in DeepLearning-500-questions are comparing it to the libraries listed below
- Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)☆76Updated 5 years ago
- Reimplementation for Iterative Visual Reasoning Beyond Convolutions(CVPR2018),i've reimplemented it on pytorch according to [endernewton/…☆71Updated 6 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆64Updated 5 years ago
- Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)☆58Updated 5 years ago
- Zeroshot learning for semantic segmentation using joint visual-semantic embedding space.☆49Updated 6 years ago
- AutoTorch, A HPO Toolkit☆60Updated 4 years ago
- zero-shot-gcn in pytorch☆81Updated 6 years ago
- Hybrid Knowledge Routed Module for Large-scale Object Detection (NerIPS2018)☆105Updated 4 years ago
- ☆90Updated 6 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 5 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- A flexible tool for building and sharing deep learning modules.☆44Updated 6 years ago
- Code for paper "PR Product: A Substitute for Inner Product in Neural Networks", containing PR-FC, PR-CNN and PR-LSTM.☆19Updated 4 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Updated 4 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 3 years ago
- Pytorch Implementation of Learning Deep Representations of Fine-grained Visual Descriptions☆14Updated 7 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"☆63Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 3 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning☆66Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019☆31Updated 4 years ago
- ☆69Updated 3 years ago
- [CVPR 2018] Official Tensorflow Code of Learning Strict Identity Mappings in Deep Residual Networks☆21Updated 4 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago