ybai62868 / CUDA-tutorialLinks
This is a repo for my training cuda code.
☆9Updated 4 years ago
Alternatives and similar repositories for CUDA-tutorial
Users that are interested in CUDA-tutorial are comparing it to the libraries listed below
Sorting:
- [CVPR 2018] Official Tensorflow Code of Learning Strict Identity Mappings in Deep Residual Networks☆21Updated 4 years ago
- You are welcomed to join us!☆50Updated 4 years ago
- EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search☆24Updated 6 years ago
- ☆40Updated 5 years ago
- AutoTorch, A HPO Toolkit☆60Updated 5 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Updated 4 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 4 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- PIC Challenge Baseline☆19Updated 6 years ago
- The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].☆73Updated 4 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 5 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- A prototype for distributed training/validation/evaluation/extraction with PyTorch.☆14Updated 4 years ago
- Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation☆20Updated 4 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆38Updated 3 years ago
- Develop and research with PyTorch more easily.☆25Updated 6 years ago
- Latex style file to facilitate writing of technical papers☆37Updated 9 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆56Updated 3 years ago
- Semi-supervised Adaptive Distillation is a model compression method for object detection.☆59Updated 5 years ago
- Query Learning of Both Thing and Stuff for Panoptic Segmentation-ICIP-2022☆15Updated 2 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 3 years ago
- ☆54Updated 5 years ago
- 1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking☆80Updated 4 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆76Updated 4 years ago
- ☆17Updated 5 years ago
- Open MMLab Detection Toolbox and Benchmark☆14Updated 5 years ago
- Batch Normalization with Enhanced Linear Transformation☆53Updated last year
- ☆10Updated 5 years ago
- Unofficial implementation for SOLO instance segmentation☆25Updated 5 years ago