🚀 TorchSparse: Efficient Point Cloud Inference Engine

Github: https://github.com/mit-han-lab/torchsparse

Paper: https://arxiv.org/abs/2204.10319v1

Dataset: https://paperswithcode.com/dataset/nuscenes

Demo: https://paperswithcode.com/dataset/pipal-perceptual-iqa-dataset

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Мониторинги показывают, что GPU загружены, при этом видно, что они не потребляют электричества. Что делать? Хорошая статья с ответом на этот вопрос.

Будет полезно почитать, даже если вы занимаетесь обучением моделек на домашних GPU.

🔹 Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Github: https://github.com/xiaoyuan1996/AMFMN

Paper: https://arxiv.org/abs/2204.09868v1

Dataset: https://paperswithcode.com/dataset/kitti

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🧍‍♂ StyleGAN-Human: A Data-Centric Odyssey of Human Generation

human image dataset with over 230K samples capturing diverse poses and textures

Github: https://github.com/stylegan-human/stylegan-human

Demo video: https://youtu.be/nIrb9hwsdcI

Paper: https://arxiv.org/abs/2204.11823v1

Dataset: https://paperswithcode.com/dataset/market-1501

Colab: https://colab.research.google.com/drive/1sgxoDM55iM07FS54vz9ALg1XckiYA2On

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🧊 Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Github: https://github.com/dvlab-research/focalsconv

Paper: https://arxiv.org/abs/2204.12463

Dataset: https://paperswithcode.com/dataset/nuscenes


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🚗 MMRotate: A Rotated Object Detection Benchmark using Pytorch

Github: https://github.com/open-mmlab/mmrotate

Documentation: https://mmrotate.readthedocs.io/en/latest/

Paper: https://arxiv.org/abs/2204.13317v1

Dataset: https://paperswithcode.com/dataset/dota


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🔝 OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

Github: https://github.com/facebookresearch/metaseq

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

Dataset: https://paperswithcode.com/dataset/superglue

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⚡️ EmotionFlow: Capture the Dialogue Level Emotion Transitions

Code: https://github.com/fpcsong/emotionflow

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/meld

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💬 Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Github: https://github.com/osainz59/Ask2Transformers

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01376v1

Dataset: https://paperswithcode.com/dataset/snli

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📌 Список потрясающих фреймворков, библиотек и программного обеспечения для машинного обучения (по языкам)

Статья

@ai_machinelearning_big_data

↘️ PyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Create a 2D feature matrix from a Knowledge Graph for downstream ML tasks.

Github: https://github.com/IBCNServices/pyRDF2Vec

RDF2Vec: http://rdf2vec.org/

Paper: https://arxiv.org/abs/2205.02283v1

Examples: https://github.com/IBCNServices/pyRDF2Vec/tree/main/examples

How to Create Representations of Entities in a Knowledge Graph

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🪄 Language Models Can See: Plugging Visual Controls in Text Generation

Github: https://github.com/yxuansu/magic

Paper: https://arxiv.org/abs/2205.02655v1

Dataset: https://paperswithcode.com/dataset/coco

Contrastive Framework for Neural Text Generation: https://github.com/yxuansu/simctg

Colab: https://colab.research.google.com/drive/19lyyMXDRNr-Op8vwUOiRmbhMxI_s3rwW?usp=sharing

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📝 EasyNLP is an easy-to-use NLP development and application toolkit in PyTorch

$ pip install pai-easynlp.

Github: https://github.com/alibaba/EasyNLP

Paper: https://arxiv.org/abs/2205.03071v1

Dataset: https://paperswithcode.com/dataset/natural-questions

Documentation: https://www.yuque.com/easyx/easynlp/kkhkai

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🗯 DeepFilterNet

A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering.

Github: https://github.com/rikorose/deepfilternet

Paper: https://arxiv.org/abs/2205.05474v1

Demo: https://huggingface.co/spaces/hshr/DeepFilterNet2

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KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

Github: https://github.com/explainableml/kg-sp

Paper: https://arxiv.org/abs/2205.06784v1

Dataset: https://paperswithcode.com/dataset/conceptnet

@ArtificialIntelligencedl

🦉 OWL-ViT: Open-World Object Detection with Vision Transformers

OWL-ViT is an open-vocabulary object detector.

Github: https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit

Paper: https://arxiv.org/abs/2205.06230

Colab: https://colab.research.google.com/github/google-research/scenic/blob/main/scenic/projects/owl_vit/notebooks/OWL_ViT_minimal_example.ipynb

Dataset: https://paperswithcode.com/dataset/objects365

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AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

First VAE framework empowered with adaptive GPT-2s (AdaVAE).

Github: https://github.com/ImKeTT/adavae

Paper: https://arxiv.org/abs/2205.05862v1

Task: https://paperswithcode.com/task/representation-learning

Efficient and performance-portable vector software

CPUs provide SIMD/vector instructions that apply the same operation to multiple data items. This can reduce energy usage e.g. fivefold because fewer instructions are executed. We also often see 5-10x speedups.

Code: https://github.com/google/highway

Paper: https://arxiv.org/abs/2205.05982v1

Testing: https://github.com/google/highway/blob/master/g3doc/release_testing_process.md

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[RK-Net]Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization

Github: https://github.com/AggMan96/RK-Net

Paper: https://zhunzhong.site/paper/RK_Net.pdf

Dataset: https://paperswithcode.com/dataset/university-1652

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Group R-CNN for Point-based Weakly Semi-supervised Object Detection

Instance-aware representation learning which consists of instance-aware feature enhancement and instance-aware parameter generation to overcome this issue.

Code: https://github.com/jshilong/grouprcnn

Installation: https://mmdetection.readthedocs.io/en/v2.18.1/get_started.html#installation

Paper: https://arxiv.org/abs/2205.05920v1

Task: https://paperswithcode.com/task/object-detection

Dataset: https://paperswithcode.com/dataset/coco

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