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
Ten Quick Tips for Deep Learning in Biology
Github: https://github.com/Benjamin-Lee/deep-rules
Paper: https://arxiv.org/abs/2105.14372v1
@ArtificialIntelligencedl
Github: https://github.com/Benjamin-Lee/deep-rules
Paper: https://arxiv.org/abs/2105.14372v1
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1×N Block Pattern for Network Sparsity
Github: https://github.com/lmbxmu/1xN
Paper: https://arxiv.org/abs/2105.14713
@ArtificialIntelligencedl
Github: https://github.com/lmbxmu/1xN
Paper: https://arxiv.org/abs/2105.14713
@ArtificialIntelligencedl
Decision Transformer
Github: https://github.com/kzl/decision-transformer
Paper: https://arxiv.org/abs/2106.01345
@ArtificialIntelligencedl
Github: https://github.com/kzl/decision-transformer
Paper: https://arxiv.org/abs/2106.01345
@ArtificialIntelligencedl
Digital Voicing of Silent Speech
Github: https://github.com/dgaddy/silent_speech
Paper: https://arxiv.org/abs/2106.01933v1
@ArtificialIntelligencedl
Github: https://github.com/dgaddy/silent_speech
Paper: https://arxiv.org/abs/2106.01933v1
@ArtificialIntelligencedl
Robust Reference-based Super-Resolution via C2-Matching
Github: https://github.com/yumingj/C2-Matching
Paper: https://arxiv.org/abs/2106.01863v1
@ArtificialIntelligencedl
Github: https://github.com/yumingj/C2-Matching
Paper: https://arxiv.org/abs/2106.01863v1
@ArtificialIntelligencedl
QRec is a Python framework for recommender systems
Github: https://github.com/Coder-Yu/QRec
Paper: https://arxiv.org/abs/2106.03569v1
@ArtificialIntelligencedl
Github: https://github.com/Coder-Yu/QRec
Paper: https://arxiv.org/abs/2106.03569v1
@ArtificialIntelligencedl
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-object Representations
Github: https://github.com/pemami4911/EfficientMORL
Paper: https://arxiv.org/abs/2106.03630v1
@ArtificialIntelligencedl
Github: https://github.com/pemami4911/EfficientMORL
Paper: https://arxiv.org/abs/2106.03630v1
@ArtificialIntelligencedl
Pretraining Representations for Data-Efficient Reinforcement Learning
Github: https://github.com/mila-iqia/spr
Paper: https://arxiv.org/abs/2106.04799v1
@ArtificialIntelligencedl
Github: https://github.com/mila-iqia/spr
Paper: https://arxiv.org/abs/2106.04799v1
@ArtificialIntelligencedl
Score Matching Model for Unbounded Data Score
Github: https://github.com/Kim-Dongjun/UNCSN
Paper: https://arxiv.org/abs/2106.05527v1
@ArtificialIntelligencedl
Github: https://github.com/Kim-Dongjun/UNCSN
Paper: https://arxiv.org/abs/2106.05527v1
@ArtificialIntelligencedl
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Github: https://github.com/rusty1s/pyg_autoscale
Paper: https://arxiv.org/abs/2106.05609v1
@ArtificialIntelligencedl
Github: https://github.com/rusty1s/pyg_autoscale
Paper: https://arxiv.org/abs/2106.05609v1
@ArtificialIntelligencedl
Pivotal Tuning for Latent-based Editing of Real Images
Github: https://github.com/Talegqz/unsupervised_co_part_segmentation
Paper: https://arxiv.org/abs/2106.05897v1
@ArtificialIntelligencedl
Github: https://github.com/Talegqz/unsupervised_co_part_segmentation
Paper: https://arxiv.org/abs/2106.05897v1
@ArtificialIntelligencedl
A Deep Variational Approach to Clustering Survival Data
Github: https://github.com/i6092467/vadesc
Paper: https://arxiv.org/abs/2106.05763v1
@ArtificialIntelligencedl
Github: https://github.com/i6092467/vadesc
Paper: https://arxiv.org/abs/2106.05763v1
@ArtificialIntelligencedl
Part-aware Panoptic Segmentation
Github: https://github.com/pmeletis/panoptic_parts
Paper: https://arxiv.org/abs/2106.06351v1
Docs: https://panoptic-parts.readthedocs.io/en/stable
@ArtificialIntelligencedl
Github: https://github.com/pmeletis/panoptic_parts
Paper: https://arxiv.org/abs/2106.06351v1
Docs: https://panoptic-parts.readthedocs.io/en/stable
@ArtificialIntelligencedl
Optimal transport in multilayer networks
Github: https://github.com/cdebacco/MultiOT
Paper: https://arxiv.org/abs/2106.07202v1
@ArtificialIntelligencedl
Github: https://github.com/cdebacco/MultiOT
Paper: https://arxiv.org/abs/2106.07202v1
@ArtificialIntelligencedl
☑️ Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Github: https://github.com/cf020031308/LinkDist
Paper: https://arxiv.org/abs/2106.08541v1
@ArtificialIntelligencedl
Github: https://github.com/cf020031308/LinkDist
Paper: https://arxiv.org/abs/2106.08541v1
@ArtificialIntelligencedl
Deep Transfer Learning on PyTorch
Github: https://github.com/easezyc/deep-transfer-learning
Paper: https://arxiv.org/abs/2106.09388v1
@ArtificialIntelligencedl
Github: https://github.com/easezyc/deep-transfer-learning
Paper: https://arxiv.org/abs/2106.09388v1
@ArtificialIntelligencedl
GitHub
GitHub - easezyc/deep-transfer-learning: A collection of implementations of deep domain adaptation algorithms
A collection of implementations of deep domain adaptation algorithms - GitHub - easezyc/deep-transfer-learning: A collection of implementations of deep domain adaptation algorithms
XCiT: Cross-Covariance Image Transformers
Github: https://github.com/facebookresearch/xcit
Paper: https://arxiv.org/abs/2106.09681v1
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/xcit
Paper: https://arxiv.org/abs/2106.09681v1
@ArtificialIntelligencedl
LMs for biomedical KG completion
Github: https://github.com/rahuln/lm-bio-kgc
Paper: https://arxiv.org/abs/2106.09700
@ArtificialIntelligencedl
Github: https://github.com/rahuln/lm-bio-kgc
Paper: https://arxiv.org/abs/2106.09700
@ArtificialIntelligencedl
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♠️ RLCard: A Toolkit for Reinforcement Learning in Card Games
Github: https://github.com/datamllab/rlcard
DouZero: https://github.com/kwai/DouZero
Paper: https://arxiv.org/abs/2106.06135v1
@ArtificialIntelligencedl
Github: https://github.com/datamllab/rlcard
DouZero: https://github.com/kwai/DouZero
Paper: https://arxiv.org/abs/2106.06135v1
@ArtificialIntelligencedl