Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Github: https://github.com/HayeonLee/MetaD2A
Paper: https://arxiv.org/abs/2107.00860v1
@ArtificialIntelligencedl
Github: https://github.com/HayeonLee/MetaD2A
Paper: https://arxiv.org/abs/2107.00860v1
@ArtificialIntelligencedl
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020)
Github: https://github.com/QingyongHu/RandLA-Net
Paper: https://arxiv.org/abs/1911.11236
Project: http://randla-net.cs.ox.ac.uk/
@ArtificialIntelligencedl
Github: https://github.com/QingyongHu/RandLA-Net
Paper: https://arxiv.org/abs/1911.11236
Project: http://randla-net.cs.ox.ac.uk/
@ArtificialIntelligencedl
UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion
Github: https://github.com/plemeri/UACANet
Paper: https://arxiv.org/abs/2107.02368v1
Dataset: https://paperswithcode.com/dataset/kvasir-seg
@ArtificialIntelligencedl
Github: https://github.com/plemeri/UACANet
Paper: https://arxiv.org/abs/2107.02368v1
Dataset: https://paperswithcode.com/dataset/kvasir-seg
@ArtificialIntelligencedl
Best machine learning tutorials: @ai_machinelearning_big_data -
Usufull python resourses: @pythonl
Artificial intelligence articles: @ArtificialIntelligencedl
Data science free books: @datascienceiot
Machine learning RU: @machinelearning_ru
ML chat: @machinee_learning
Free python books: @pythonlbooks
Usufull python resourses: @pythonl
Artificial intelligence articles: @ArtificialIntelligencedl
Data science free books: @datascienceiot
Machine learning RU: @machinelearning_ru
ML chat: @machinee_learning
Free python books: @pythonlbooks
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
Github: https://github.com/leeyegy/SimDR
Paper: https://arxiv.org/abs/2107.03332v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Github: https://github.com/leeyegy/SimDR
Paper: https://arxiv.org/abs/2107.03332v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
✅ OPNAI Evaluating Large Language Models Trained on Code
Github: https://github.com/openai/human-eval
Paper: https://arxiv.org/abs/2107.03374v1
Dataset: https://paperswithcode.com/dataset/apps
@ArtificialIntelligencedl
Github: https://github.com/openai/human-eval
Paper: https://arxiv.org/abs/2107.03374v1
Dataset: https://paperswithcode.com/dataset/apps
@ArtificialIntelligencedl
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Github: https://github.com/intel-nrc-ecosystem/models
Paper: https://arxiv.org/abs/2107.03992v1
@ArtificialIntelligencedl
Github: https://github.com/intel-nrc-ecosystem/models
Paper: https://arxiv.org/abs/2107.03992v1
@ArtificialIntelligencedl
GitHub
GitHub - intel-nrc-ecosystem/models: This repository will host models, modules, algorithms and applications developed by the INRC…
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform. - intel-nrc-ecosystem/models
🎨 Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
Github: https://github.com/yqx7150/WACM
Paper: https://arxiv.org/pdf/2107.04261v1.pdf
Dataset: https://paperswithcode.com/dataset/coco-stuff
@ArtificialIntelligencedl
Github: https://github.com/yqx7150/WACM
Paper: https://arxiv.org/pdf/2107.04261v1.pdf
Dataset: https://paperswithcode.com/dataset/coco-stuff
@ArtificialIntelligencedl
HOW TO TELL IF YOU HAVE TRAINED YOUR MODEL WITH ENOUGH DATA ?
https://calculatedcontent.com/2021/07/09/how-to-tell-if-you-have-trained-your-model-with-enough-data/
@ArtificialIntelligencedl
https://calculatedcontent.com/2021/07/09/how-to-tell-if-you-have-trained-your-model-with-enough-data/
@ArtificialIntelligencedl
⭐️ Facebook's Per-Pixel Classification is Not All You Need for Semantic Segmentation
Github: https://github.com/facebookresearch/MaskFormer
Paper: http://arxiv.org/abs/2107.06278
Project: https://bowenc0221.github.io/maskformer
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/MaskFormer
Paper: http://arxiv.org/abs/2107.06278
Project: https://bowenc0221.github.io/maskformer
@ArtificialIntelligencedl
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval PyTorch
Github: https://github.com/mchong6/RetrieveInStyle
Paper: https://arxiv.org/pdf/2107.06256v1.pdf
Dataset: https://paperswithcode.com/dataset/celeba
@ArtificialIntelligencedl
Github: https://github.com/mchong6/RetrieveInStyle
Paper: https://arxiv.org/pdf/2107.06256v1.pdf
Dataset: https://paperswithcode.com/dataset/celeba
@ArtificialIntelligencedl
🍫 Food Instance Segmentation
Github: https://github.com/gist-ailab/Food-Instance-Segmentation
Paper: https://arxiv.org/abs/2107.07191
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Github: https://github.com/gist-ailab/Food-Instance-Segmentation
Paper: https://arxiv.org/abs/2107.07191
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
🔧 Image Fusion Transformer
Github: https://github.com/Vibashan/Image-Fusion-Transformer
Paper: https://arxiv.org/abs/2107.09011v2
Dataset: https://paperswithcode.com/dataset/kaist-urban
@ArtificialIntelligencedl
Github: https://github.com/Vibashan/Image-Fusion-Transformer
Paper: https://arxiv.org/abs/2107.09011v2
Dataset: https://paperswithcode.com/dataset/kaist-urban
@ArtificialIntelligencedl
Forwarded from Machinelearning
🔝 Deepmind's WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
This package provides tools to download the WikiGraphs dataset
Github: https://github.com/deepmind/deepmind-research/tree/master/wikigraphs
Paper: https://arxiv.org/abs/2107.09556v1
Dataset: https://paperswithcode.com/dataset/wikigraphs
@ai_machinelearning_big_data
This package provides tools to download the WikiGraphs dataset
Github: https://github.com/deepmind/deepmind-research/tree/master/wikigraphs
Paper: https://arxiv.org/abs/2107.09556v1
Dataset: https://paperswithcode.com/dataset/wikigraphs
@ai_machinelearning_big_data
ESPnet: end-to-end speech processing toolkit
Github: https://github.com/espnet/espnet
Paper: https://arxiv.org/abs/2107.09011v2
Notebook: https://github.com/espnet/notebook
@ArtificialIntelligencedl
Github: https://github.com/espnet/espnet
Paper: https://arxiv.org/abs/2107.09011v2
Notebook: https://github.com/espnet/notebook
@ArtificialIntelligencedl
GitHub
GitHub - espnet/espnet: End-to-End Speech Processing Toolkit
End-to-End Speech Processing Toolkit. Contribute to espnet/espnet development by creating an account on GitHub.
https://news.1rj.ru/str/Golang_google - golang channel
https://news.1rj.ru/str/javanoscriptv - javanoscript tutorials
https://news.1rj.ru/str/memes_prog - it memes
https://news.1rj.ru/str/pro_python_code - python ru
https://news.1rj.ru/str/htmlcssjavas - web development
https://news.1rj.ru/str/csharp_ci - c sharp
https://news.1rj.ru/str/linuxkalii - kali linux
https://news.1rj.ru/str/javanoscriptv - javanoscript tutorials
https://news.1rj.ru/str/memes_prog - it memes
https://news.1rj.ru/str/pro_python_code - python ru
https://news.1rj.ru/str/htmlcssjavas - web development
https://news.1rj.ru/str/csharp_ci - c sharp
https://news.1rj.ru/str/linuxkalii - kali linux
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Github: https://github.com/Vanint/TADE-AgnosticLT
Paper: https://arxiv.org/abs/2107.09249v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
Github: https://github.com/Vanint/TADE-AgnosticLT
Paper: https://arxiv.org/abs/2107.09249v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models
Github: https://github.com/katiana22/GDM-PCE
Paper: https://arxiv.org/abs/2107.09814
@ArtificialIntelligencedl
Github: https://github.com/katiana22/GDM-PCE
Paper: https://arxiv.org/abs/2107.09814
@ArtificialIntelligencedl
Curated papers, articles, and blogs on data science & machine learning in production
https://github.com/eugeneyan/applied-ml
@ArtificialIntelligencedl
https://github.com/eugeneyan/applied-ml
@ArtificialIntelligencedl
GitHub
GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. - eugeneyan/applied-ml
📊 QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Github: https://github.com/mit-han-lab/pytorch-quantum
Paper: https://arxiv.org/abs/2107.10845v1
@ArtificialIntelligencedl
Github: https://github.com/mit-han-lab/pytorch-quantum
Paper: https://arxiv.org/abs/2107.10845v1
@ArtificialIntelligencedl