- Is there any available database of trained CNNs? https://github.com/onnx/models 3 comments deeplearning
Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - monkbai/DNN-decompiler: BTD - Bin To DNN: A DNN Executables Decompiler https://github.com/monkbai/DNN-decompiler 28 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- Building an image recognition React app using ONNX.js | by Zain Sajjad | Heartbeat https://heartbeat.fritz.ai/building-an-object-detection-app-using-onnx-js-c7147f4f291b 0 comments
- GitHub - zetane/viewer: ML models and internal tensors 3D visualizer https://github.com/zetane/viewer 0 comments
- ONNX Runtime is now open source | Azure Blog and Updates | Microsoft Azure https://azure.microsoft.com/en-us/blog/onnx-runtime-is-now-open-source/ 0 comments
- Building an image recognition React app using ONNX.js | by Zain Sajjad | Heartbeat https://heartbeat.fritz.ai/building-an-image-recognition-app-using-onnx-js-c7147f4f291b 0 comments
- onnx-coreml/README.md at master · prisma-ai/onnx-coreml · GitHub https://github.com/prisma-ai/onnx-coreml/blob/master/README.md 0 comments
- GitHub - microsoft/onnxjs: ONNX.js: run ONNX models using JavaScript https://github.com/Microsoft/onnxjs 0 comments
- Vald released the new Vald official ingress filter: vald-onnx-ingress-filter | by vald.vdaas.org | ITNEXT https://vdaas-vald.medium.com/vald-released-the-new-vald-official-ingress-filter-vald-onnx-ingress-filter-b807e147188b?sk=5b2177afe4c838522e3947b842d603d2&source=friends_link 0 comments
- GitHub - onnx/onnx: Open standard for machine learning interoperability https://github.com/onnx/onnx 0 comments
- The Platform Wars. How competing software, hardware and… | by Peter Xing | DataDrivenInvestor https://medium.com/datadriveninvestor/the-platform-wars-67a84b012480 0 comments
- GitHub - xetdata/onnx-models: A copy of ONNX models, datasets, and code all in one GitHub repository. Follow the README to learn more. https://github.com/xetdata/onnx-models 0 comments
Linked pages
- Project Jupyter | Home http://jupyter.org 240 comments
- [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation http://arxiv.org/abs/1609.08144 97 comments
- Git Large File Storage | Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git, while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. https://git-lfs.github.com/ 56 comments
- [2004.10934] YOLOv4: Optimal Speed and Accuracy of Object Detection https://arxiv.org/abs/2004.10934 54 comments
- https://arxiv.org/abs/1708.02002 19 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 18 comments
- [1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks https://arxiv.org/abs/1905.11946 10 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf 4 comments
- [1612.08242] YOLO9000: Better, Faster, Stronger https://arxiv.org/abs/1612.08242 4 comments
- [1608.06993] Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993 3 comments
- https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf 3 comments
- [1702.07825] Deep Voice: Real-time Neural Text-to-Speech https://arxiv.org/abs/1702.07825 3 comments
- ONNX | Home https://onnx.ai/ 1 comment
- https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf 1 comment
- [1611.08669] Visual Dialog https://arxiv.org/abs/1611.08669 1 comment
- [1512.00567] Rethinking the Inception Architecture for Computer Vision http://arxiv.org/abs/1512.00567 1 comment
- https://arxiv.org/abs/1512.02325 0 comments
- [1703.06870] Mask R-CNN https://arxiv.org/abs/1703.06870 0 comments
- [1704.04861] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/abs/1704.04861 0 comments
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