The Machine & Deep Learning Compendium Open Book
https://book.mlcompendium.com/
GitBook: https://github.com/orico/www.mlcompendium.com
👉 @bigdata_1
https://book.mlcompendium.com/
GitBook: https://github.com/orico/www.mlcompendium.com
👉 @bigdata_1
Self-Supervised Learning with Swin Transformers
Github: https://github.com/SwinTransformer/Transformer-SSL
Paper: https://arxiv.org/abs/2105.04553v2
👉 @bigdata_1
Github: https://github.com/SwinTransformer/Transformer-SSL
Paper: https://arxiv.org/abs/2105.04553v2
👉 @bigdata_1
Dynamic Slimmable Network (DS-Net)
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
👉 @bigdata_1
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
👉 @bigdata_1
A Large-Scale Benchmark for Food Image Segmentation
Github: https://github.com/XiongweiWu/FoodSeg-Benchmark
Paper: https://arxiv.org/abs/2105.05409v1
👉 @bigdata_1
Github: https://github.com/XiongweiWu/FoodSeg-Benchmark
Paper: https://arxiv.org/abs/2105.05409v1
👉 @bigdata_1
Language Models are Few-shot Multilingual Learners
Github: https://github.com/gentaiscool/few-shot-lm
Paper: https://arxiv.org/abs/2109.07684v1
👉 @bigdata_1
Github: https://github.com/gentaiscool/few-shot-lm
Paper: https://arxiv.org/abs/2109.07684v1
👉 @bigdata_1
EL-Attention: Memory Efficient Lossless Attention for Generation
Github: https://github.com/microsoft/fastseq
Paper: https://arxiv.org/abs/2105.04779v1
👉 @bigdata_1
Github: https://github.com/microsoft/fastseq
Paper: https://arxiv.org/abs/2105.04779v1
👉 @bigdata_1
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CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.
Github: https://github.com/facebookresearch/CompilerGym
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.08267v1
👉 @bigdata_1
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.
Github: https://github.com/facebookresearch/CompilerGym
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.08267v1
👉 @bigdata_1
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
👉 @bigdata_1
Gitgub: https://github.com/google-research-datasets/synthetic-fur
Paper: https://arxiv.org/abs/2105.06409
Video: https://youtu.be/5uraQu_5Tyg
👉 @bigdata_1
Building AI that can generate images of things it has never seen before
Github: https://github.com/facebookresearch/ic_gan
Facebook Ai: https://ai.facebook.com/blog/instance-conditioned-gans/
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.05070
👉 @bigdata_1
Github: https://github.com/facebookresearch/ic_gan
Facebook Ai: https://ai.facebook.com/blog/instance-conditioned-gans/
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.05070
👉 @bigdata_1
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
👉 @bigdata_1
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
👉 @bigdata_1
Don’t be Contradicted with Anything!CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Github: https://github.com/yizhen20133868/ci-tod
Paper: https://arxiv.org/abs/2109.11292v1
Dataset: https://paperswithcode.com/dataset/kvret-1
👉 @bigdata_1
Github: https://github.com/yizhen20133868/ci-tod
Paper: https://arxiv.org/abs/2109.11292v1
Dataset: https://paperswithcode.com/dataset/kvret-1
👉 @bigdata_1
GAN Prior Embedded Network for Blind Face Restoration in the Wild
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
👉 @bigdata_1
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
👉 @bigdata_1
Unseen Object Amodal Instance Segmentation (UOAIS)
Github: https://github.com/gist-ailab/uoais
Paper: https://arxiv.org/abs/2109.11103
Dataset: https://paperswithcode.com/dataset/ocid
Project: https://sites.google.com/view/uoais
👉 @bigdata_1
Github: https://github.com/gist-ailab/uoais
Paper: https://arxiv.org/abs/2109.11103
Dataset: https://paperswithcode.com/dataset/ocid
Project: https://sites.google.com/view/uoais
👉 @bigdata_1
👍2
Rethinking "Batch" in BatchNorm
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
👉 @bigdata_1
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
👉 @bigdata_1
AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
👉 @bigdata_1
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
👉 @bigdata_1
Deep Learning Dataset For Passage and Document Retrieval
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
👉 @bigdata_1
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
👉 @bigdata_1
👍3
PASS: Pictures without humAns for Self-Supervised Pretraining
PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information.
Github: https://github.com/yukimasano/PASS
Paper: https://arxiv.org/abs/2109.13228v1
Dataset: https://paperswithcode.com/dataset/pass
Documentation: https://www.robots.ox.ac.uk/~vgg/research/pass/
👉 @bigdata_1
PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information.
Github: https://github.com/yukimasano/PASS
Paper: https://arxiv.org/abs/2109.13228v1
Dataset: https://paperswithcode.com/dataset/pass
Documentation: https://www.robots.ox.ac.uk/~vgg/research/pass/
👉 @bigdata_1
👍2
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
👉 @bigdata_1
Github: https://github.com/roatienza/deep-text-recognition-benchmark
Paper: https://arxiv.org/abs/2105.08582
👉 @bigdata_1
👍2
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Nowcasting the Next Hour of Rain
Github: https://github.com/deepmind/deepmind-research/tree/master/nowcasting
Paper: https://www.nature.com/articles/s41586-021-03854-z
Deepmind blog: https://deepmind.com/blog/article/nowcasting
👉 @bigdata_1
Github: https://github.com/deepmind/deepmind-research/tree/master/nowcasting
Paper: https://www.nature.com/articles/s41586-021-03854-z
Deepmind blog: https://deepmind.com/blog/article/nowcasting
👉 @bigdata_1
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OpenNRE
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
👉 @bigdata_1
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
👉 @bigdata_1