GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Github: https://github.com/rusty1s/pyg_autoscale
Paper: https://arxiv.org/abs/2106.05609v1
👉 @bigdata_1
Github: https://github.com/rusty1s/pyg_autoscale
Paper: https://arxiv.org/abs/2106.05609v1
👉 @bigdata_1
😁1
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Github: https://github.com/Lausannen/NAS-FCOS
Paper: https://arxiv.org/abs/2110.12423v1
👉 @bigdata_1
Github: https://github.com/Lausannen/NAS-FCOS
Paper: https://arxiv.org/abs/2110.12423v1
👉 @bigdata_1
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
👉 @bigdata_1
Github: https://github.com/Talegqz/unsupervised_co_part_segmentation
Paper: https://arxiv.org/abs/2106.05897v1
👉 @bigdata_1
👍1
Revisiting randomized choices in isolation forests
Github: https://github.com/david-cortes/isotree
Paper: https://arxiv.org/abs/2110.13402v1
👉 @bigdata_1
Github: https://github.com/david-cortes/isotree
Paper: https://arxiv.org/abs/2110.13402v1
👉 @bigdata_1
A Deep Variational Approach to Clustering Survival Data
Github: https://github.com/i6092467/vadesc
Paper: https://arxiv.org/abs/2106.05763v1
👉 @bigdata_1
Github: https://github.com/i6092467/vadesc
Paper: https://arxiv.org/abs/2106.05763v1
👉 @bigdata_1
👍1
GoEmotions: A Dataset for Fine-Grained Emotion Classification
Github: https://github.com/google-research/google-research/tree/master/goemotions
Google AI: https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html
👉 @bigdata_1
Github: https://github.com/google-research/google-research/tree/master/goemotions
Google AI: https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html
👉 @bigdata_1
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
👉 @bigdata_1
Github: https://github.com/pmeletis/panoptic_parts
Paper: https://arxiv.org/abs/2106.06351v1
Docs: https://panoptic-parts.readthedocs.io/en/stable
👉 @bigdata_1
OneFlow is a performance-centered and open-source deep learning framework.
Github: https://github.com/Oneflow-Inc/oneflow
Paper: https://arxiv.org/abs/2110.15032v2
👉 @bigdata_1
Github: https://github.com/Oneflow-Inc/oneflow
Paper: https://arxiv.org/abs/2110.15032v2
👉 @bigdata_1
👍1
Optimal transport in multilayer networks
Github: https://github.com/cdebacco/MultiOT
Paper: https://arxiv.org/abs/2106.07202v1
👉 @bigdata_1
Github: https://github.com/cdebacco/MultiOT
Paper: https://arxiv.org/abs/2106.07202v1
👉 @bigdata_1
👍1
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Github: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN
Paper: https://arxiv.org/abs/2111.01118v1
Dataset: https://paperswithcode.com/dataset/cifar-10
👉 @bigdata_1
Github: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN
Paper: https://arxiv.org/abs/2111.01118v1
Dataset: https://paperswithcode.com/dataset/cifar-10
👉 @bigdata_1
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
👉 @bigdata_1
Github: https://github.com/cf020031308/LinkDist
Paper: https://arxiv.org/abs/2106.08541v1
👉 @bigdata_1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
Github: https://github.com/AaltoML/BayesNewton
Paper: https://arxiv.org/abs/2111.01721v1
👉 @bigdata_1
Github: https://github.com/AaltoML/BayesNewton
Paper: https://arxiv.org/abs/2111.01721v1
👉 @bigdata_1
XCiT: Cross-Covariance Image Transformers
Github: https://github.com/facebookresearch/xcit
Paper: https://arxiv.org/abs/2106.09681v1
👉 @bigdata_1
Github: https://github.com/facebookresearch/xcit
Paper: https://arxiv.org/abs/2106.09681v1
👉 @bigdata_1
OpenPrompt: An Open-source Framework for Prompt-learning
Github: https://github.com/thunlp/OpenPrompt
Paper: https://arxiv.org/abs/2111.01998v1
👉 @bigdata_1
Github: https://github.com/thunlp/OpenPrompt
Paper: https://arxiv.org/abs/2111.01998v1
👉 @bigdata_1
LMs for biomedical KG completion
Github: https://github.com/rahuln/lm-bio-kgc
Paper: https://arxiv.org/abs/2106.09700
👉 @bigdata_1
Github: https://github.com/rahuln/lm-bio-kgc
Paper: https://arxiv.org/abs/2106.09700
👉 @bigdata_1
Alias-Free Generative Adversarial Networks (StyleGAN3)
Github: https://github.com/pdillis/stylegan3-fun
Paper: https://arxiv.org/abs/2111.02175v1
Dataset: https://paperswithcode.com/dataset/ffhq
👉 @bigdata_1
Github: https://github.com/pdillis/stylegan3-fun
Paper: https://arxiv.org/abs/2111.02175v1
Dataset: https://paperswithcode.com/dataset/ffhq
👉 @bigdata_1
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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
👉 @bigdata_1
Github: https://github.com/datamllab/rlcard
DouZero: https://github.com/kwai/DouZero
Paper: https://arxiv.org/abs/2106.06135v1
👉 @bigdata_1
Adversarial poison generation and evaluation
Github: https://github.com/lhfowl/adversarial_poisons
Paper: https://arxiv.org/abs/2106.10807
👉 @bigdata_1
Github: https://github.com/lhfowl/adversarial_poisons
Paper: https://arxiv.org/abs/2106.10807
👉 @bigdata_1
👁🗨 OCR Post Correction for Endangered Language Texts
Github: https://github.com/shrutirij/ocr-post-correction
Paper: https://arxiv.org/abs/2111.02622v1
Docs: https://shrutirij.github.io/ocr-el/
👉 @bigdata_1
Github: https://github.com/shrutirij/ocr-post-correction
Paper: https://arxiv.org/abs/2111.02622v1
Docs: https://shrutirij.github.io/ocr-el/
👉 @bigdata_1
🧠 Tiny CUDA Neural Networks
Github: https://github.com/nvlabs/tiny-cuda-nn
Paper: https://arxiv.org/abs/2106.12372v1
👉 @bigdata_1
Github: https://github.com/nvlabs/tiny-cuda-nn
Paper: https://arxiv.org/abs/2106.12372v1
👉 @bigdata_1