🗣 Facebbok’s textless-lib: a Library for Textless Spoken Language Processing

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

Code examples: https://github.com/facebookresearch/textlesslib/tree/main/examples

Paper: https://arxiv.org/abs/2202.07359v1

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

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🔎 Anomalib: A Deep Learning Library for Anomaly Detection

Github: https://github.com/openvinotoolkit/anomalib

Docs: https://openvinotoolkit.github.io/anomalib/

Paper: https://arxiv.org/abs/2202.08341v1

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

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💻 Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Github: https://github.com/nvlabs/instant-ngp

HashNeRF-pytorch: https://openvinotoolkit.github.io/anomalib/

Paper: https://arxiv.org/abs/2201.05989v1


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Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation

Github: https://github.com/tzer-anonbot/tzer

Docs: https://tzer.readthedocs.io/en/latest/markdown/artifact.html

Paper: https://arxiv.org/abs/2202.09947v1


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🔥 The Complete Collection of Data Science Cheat Sheets

https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

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☑️ One-shot Affordance Detection

Github: https://github.com/lhc1224/OSAD_Net

Paper: https://arxiv.org/abs/2202.12076v1

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

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👁 Visual Attention Network (VAN)

Github: https://github.com/Visual-Attention-Network/VAN-Classification

Paper: https://arxiv.org/pdf/2202.09741.pdf

Dataset: https://paperswithcode.com/dataset/ade20k

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💥 Local and Global GANs with Semantic-Aware Upsampling for Image Generation

Github: https://github.com/Ha0Tang/LGGAN

Paper: https://arxiv.org/abs/2203.00047v1

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

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🎲 Bayesian IRT models in Python

Github: https://github.com/nd-ball/py-irt

Paper: https://arxiv.org/abs/2203.01282v1

Bayesian IRT: https://m-clark.github.io/models-by-example/bayesian-irt.html

@ai_machinelearning_big_data

Hello everyone. My name is Andrew and for several years I've been working on to make the learning path for ML
easier.

I wrote a manual on machine learning that
everyone understands - Machine Learning Simplified Book. The main purpose of my book is to build an intuitive
understanding of how algorithms work through basic examples. In order to understand the presented material,
it is enough to know basic mathematics and linear algebra.

After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical
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You can read the book absolutely free at the link below:
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⚫️ Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Github: https://github.com/ghostish/open3dsot

Paper: https://arxiv.org/abs/2203.01730v1

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

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🎓 StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

Github: https://github.com/royorel/StyleSDF

Paper: https://arxiv.org/abs/2112.11427v1

Project: https://stylesdf.github.io/

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

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🔲 Kubric A data generation pipeline for creating semi-realistic synthetic multi-object videos

Github: https://github.com/google-research/kubric

Paper: https://arxiv.org/abs/2203.03570v1

Docs: https://kubric.readthedocs.io/

Dataset: https://github.com/deepmind/multi_object_datasets

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♟ Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Github: https://github.com/PruneTruong/DenseMatching

Paper: https://arxiv.org/abs/2203.04279v1

Project: https://prunetruong.com/research/warpc

Dataset: https://paperswithcode.com/dataset/pf-pascal

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🗿 StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

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

Video: http://jiataogu.me/style_nerf

Paper: https://arxiv.org/abs/2110.08985

Project: http://jiataogu.me/style_nerf/

Dataset: https://github.com/facebookresearch/StyleNeRF#dataset

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💥 A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments

Github: https://github.com/url-kaist/quatro

Video: http://jiataogu.me/style_nerf

Paper: https://arxiv.org/abs/2203.06612v1

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

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🦾 Test Suites for Validating ML Models & Data

Github: https://github.com/deepchecks/deepchecks

Example: https://docs.deepchecks.com/en/stable/examples/guides/quickstart_in_5_minutes.html

Docs: https://docs.deepchecks.com/

Paper: https://arxiv.org/abs/2203.08491v1

Blog: https://deepchecks.com/blog/

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🧷 HybridNets: End2End Perception Network

Github: https://github.com/datvuthanh/HybridNets

Paper: https://arxiv.org/abs/2203.09035v1

Dataset: https://paperswithcode.com/dataset/bdd100k

Tasks: https://paperswithcode.com/task/traffic-object-detection

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