Forwarded from Machinelearning
⚽️ Advancing sports analytics through AI research
🔥 Deepmind blog : https://deepmind.com/blog/article/advancing-sports-analytics-through-ai
A Dataset and Benchmarks: https://soccer-net.org/
Dataset: https://github.com/statsbomb/open-data
Paper: https://sites.google.com/view/ijcai-aisa-2021/
@ai_machinelearning_big_data
🔥 Deepmind blog : https://deepmind.com/blog/article/advancing-sports-analytics-through-ai
A Dataset and Benchmarks: https://soccer-net.org/
Dataset: https://github.com/statsbomb/open-data
Paper: https://sites.google.com/view/ijcai-aisa-2021/
@ai_machinelearning_big_data
Diffusion Models Beat GANs on Image Synthesis
Github: https://github.com/openai/guided-diffusion
Paper: https://arxiv.org/abs/2105.05233v1
@ArtificialIntelligencedl
Github: https://github.com/openai/guided-diffusion
Paper: https://arxiv.org/abs/2105.05233v1
@ArtificialIntelligencedl
GitHub
GitHub - openai/guided-diffusion
Contribute to openai/guided-diffusion development by creating an account on GitHub.
Self-Supervised Learning with Swin Transformers
Github: https://github.com/SwinTransformer/Transformer-SSL
Paper: https://arxiv.org/abs/2105.04553v2
@ArtificialIntelligencedl
Github: https://github.com/SwinTransformer/Transformer-SSL
Paper: https://arxiv.org/abs/2105.04553v2
@ArtificialIntelligencedl
A Large-Scale Benchmark for Food Image Segmentation
Github: https://github.com/XiongweiWu/FoodSeg-Benchmark
Paper: https://arxiv.org/abs/2105.05409v1
@ArtificialIntelligencedl
Github: https://github.com/XiongweiWu/FoodSeg-Benchmark
Paper: https://arxiv.org/abs/2105.05409v1
@ArtificialIntelligencedl
EL-Attention: Memory Efficient Lossless Attention for Generation
Github: https://github.com/microsoft/fastseq
Paper: https://arxiv.org/abs/2105.04779v1
@ArtificialIntelligencedl
Github: https://github.com/microsoft/fastseq
Paper: https://arxiv.org/abs/2105.04779v1
@ArtificialIntelligencedl
GitHub
GitHub - microsoft/fastseq: An efficient implementation of the popular sequence models for text generation, summarization, and…
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf - microsoft/fastseq
SyntheticFur Dataset Description
Gitgub: https://github.com/google-research-datasets/synthetic-fur
Paper: https://arxiv.org/abs/2105.06409
Video: https://youtu.be/5uraQu_5Tyg
@ArtificialIntelligencedl
Gitgub: https://github.com/google-research-datasets/synthetic-fur
Paper: https://arxiv.org/abs/2105.06409
Video: https://youtu.be/5uraQu_5Tyg
@ArtificialIntelligencedl
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
@ArtificialIntelligencedl
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
@ArtificialIntelligencedl
GAN Prior Embedded Network for Blind Face Restoration in the Wild
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
@ArtificialIntelligencedl
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
@ArtificialIntelligencedl
Rethinking "Batch" in BatchNorm
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
@ArtificialIntelligencedl
Deep Learning Dataset For Passage and Document Retrieval
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
@ArtificialIntelligencedl
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
@ArtificialIntelligencedl
Vision Transformer for Fast and Efficient Scene Text Recognition
Github: https://github.com/roatienza/deep-text-recognition-benchmark
Paper: https://arxiv.org/abs/2105.08582
@ArtificialIntelligencedl
Github: https://github.com/roatienza/deep-text-recognition-benchmark
Paper: https://arxiv.org/abs/2105.08582
@ArtificialIntelligencedl
OpenNRE
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
@ArtificialIntelligencedl
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
@ArtificialIntelligencedl
GitHub
GitHub - thunlp/OpenNRE: An Open-Source Package for Neural Relation Extraction (NRE)
An Open-Source Package for Neural Relation Extraction (NRE) - thunlp/OpenNRE
Forwarded from Machinelearning
🔥 Awesome list of datasets in 100+ categories
44 zettabytes of data
https://www.kdnuggets.com/2021/05/awesome-list-datasets.html
@ai_machinelearning_big_data
44 zettabytes of data
https://www.kdnuggets.com/2021/05/awesome-list-datasets.html
@ai_machinelearning_big_data
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.09188v1
@ArtificialIntelligencedl
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.09188v1
@ArtificialIntelligencedl
A Python Package for Bayesian Time Series Forecasting and Inference
https://morioh.com/p/24731abbc7f0
Github: https://github.com/uber/orbit
Docs: https://orbit-ml.readthedocs.io/en/stable/
@ArtificialIntelligencedl
https://morioh.com/p/24731abbc7f0
Github: https://github.com/uber/orbit
Docs: https://orbit-ml.readthedocs.io/en/stable/
@ArtificialIntelligencedl
Unsupervised Scale-consistent Depth Learning from Video
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.11610v1
Project: https://jwbian.net/sc-sfmlearner/
@ArtificialIntelligencedl
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.11610v1
Project: https://jwbian.net/sc-sfmlearner/
@ArtificialIntelligencedl
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
Github: https://github.com/antonio-mastropaolo/T5-learning-ICSE_2021
Paper: https://arxiv.org/pdf/2102.02017.pdf
@ArtificialIntelligencedl
Github: https://github.com/antonio-mastropaolo/T5-learning-ICSE_2021
Paper: https://arxiv.org/pdf/2102.02017.pdf
@ArtificialIntelligencedl
👄 PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
Github: https://github.com/wtjiang98/PSGANhttps://github.com/wtjiang98/PSGAN
Paper: https://arxiv.org/abs/2105.12324v1
Dataset: https://buaaeducn-my.sharepoint.com/:u:/g/personal/jiangwentao_buaa_edu_cn/EcRNkF2bFY9AomfMfyd_B2ABUyZ7PtSeYoqFJKJbVvwMHg?e=PScTNw
@ArtificialIntelligencedl
Github: https://github.com/wtjiang98/PSGANhttps://github.com/wtjiang98/PSGAN
Paper: https://arxiv.org/abs/2105.12324v1
Dataset: https://buaaeducn-my.sharepoint.com/:u:/g/personal/jiangwentao_buaa_edu_cn/EcRNkF2bFY9AomfMfyd_B2ABUyZ7PtSeYoqFJKJbVvwMHg?e=PScTNw
@ArtificialIntelligencedl
The pytorch re-implement of the official EfficientDet with SOTA performance in real time
Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch
Paper: https://arxiv.org/abs/2105.12971v1
Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial
@ArtificialIntelligencedl
Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch
Paper: https://arxiv.org/abs/2105.12971v1
Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial
@ArtificialIntelligencedl
AndroidEnv - The Android Learning Environment
Github: https://github.com/deepmind/android_env
Paper: https://arxiv.org/abs/2105.13231v1
@ArtificialIntelligencedl
Github: https://github.com/deepmind/android_env
Paper: https://arxiv.org/abs/2105.13231v1
@ArtificialIntelligencedl