StyleMapGAN - Official PyTorch Implementation
Github: https://github.com/naver-ai/StyleMapGAN
Paper: https://arxiv.org/abs/2104.14754v1
Video: https://youtu.be/qCapNyRA_Ng
@ArtificialIntelligencedl
Github: https://github.com/naver-ai/StyleMapGAN
Paper: https://arxiv.org/abs/2104.14754v1
Video: https://youtu.be/qCapNyRA_Ng
@ArtificialIntelligencedl
Python implementation of the Bayesian Knowledge Tracing algorithm and variants, estimating student cognitive mastery from problem solving sequences.
Github: https://github.com/CAHLR/pyBKT
Tutorial: https://colab.research.google.com/drive/13abu919edUXbvPV3qeGPpvwnFBExU7Vd
Paper: https://arxiv.org/abs/2105.00385v1
Github: https://github.com/CAHLR/pyBKT
Tutorial: https://colab.research.google.com/drive/13abu919edUXbvPV3qeGPpvwnFBExU7Vd
Paper: https://arxiv.org/abs/2105.00385v1
GitHub
GitHub - CAHLR/pyBKT: Python implementation of Bayesian Knowledge Tracing and extensions
Python implementation of Bayesian Knowledge Tracing and extensions - CAHLR/pyBKT
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
Github: https://github.com/lukemelas/do-you-even-need-attention
Paper: https://arxiv.org/abs/2105.02723
@ArtificialIntelligencedl
Github: https://github.com/lukemelas/do-you-even-need-attention
Paper: https://arxiv.org/abs/2105.02723
@ArtificialIntelligencedl
Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms
https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
@ArtificialIntelligencedl
https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
@ArtificialIntelligencedl
mcbal
Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms | mcbal
Can we model attention as the collective response of a statistical-mechanical system?
Two4Two: Evaluating Interpretable Machine Learning -- A Synthetic Dataset For Controlled Experiments
Github: https://github.com/mschuessler/two4two
Paper: https://arxiv.org/abs/2105.02825v1
@ArtificialIntelligencedl
Github: https://github.com/mschuessler/two4two
Paper: https://arxiv.org/abs/2105.02825v1
@ArtificialIntelligencedl
Body Meshes as Points
Github: https://github.com/jfzhang95/BMP
Paper: https://arxiv.org/abs/2105.02467v1
@ArtificialIntelligencedl
Github: https://github.com/jfzhang95/BMP
Paper: https://arxiv.org/abs/2105.02467v1
@ArtificialIntelligencedl
Chimera: Learning Shared Semantic Space for Speech-to-Text Translation (Nightly Version)
Github: https://github.com/Glaciohound/Chimera-SLT
Paper: https://arxiv.org/abs/2105.03095
@ArtificialIntelligencedl
Github: https://github.com/Glaciohound/Chimera-SLT
Paper: https://arxiv.org/abs/2105.03095
@ArtificialIntelligencedl
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