UniSRec

The proposed approach utilizes the associated description text of items to learn transferable representations across different recommendation scenarios.

Github: https://github.com/rucaibox/unisrec

Paper: https://arxiv.org/abs/2206.05941v1

Google Drive: https://drive.google.com/drive/folders/1Uik0fMk4oquV_bS9lXTZuExAYbIDkEMW?usp=sharing

👉 @bigdata_1

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

Github: https://github.com/kssteven418/squeezeformer

Paper: https://arxiv.org/abs/2206.00888v1

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

👉 @bigdata_1

OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes

OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes

Github: https://github.com/astrazeneca/onto_merger

Paper: https://arxiv.org/abs/2206.02238v1

Documentation: https://ontomerger.readthedocs.io/

👉 @bigdata_1

CVNets: A library for training computer vision networks

Improved model, MobileViTv2, is state-of-the-art on several mobile vision tasks, including ImageNet object classification and MS-COCO object detection.

Github: https://github.com/apple/ml-cvnets

Examples: https://github.com/apple/ml-cvnets/blob/main/docs/source/en/models

Paper: https://arxiv.org/abs/2206.02680v1

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

👉 @bigdata_1

EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks by Nvidia

Expressive hybrid explicit-implicit network architecture that, together with other design choices, synthesizes not only high-resolution multi-view-consistent images in real time but also produces high-quality 3D geometry.

Github: https://github.com/NVlabs/eg3d

Project: https://nvlabs.github.io/eg3d/

Video: https://www.youtube.com/watch?v=cXxEwI7QbKg&feature=emb_logo&ab_channel=StanfordComputationalImagingLab

Paper: https://nvlabs.github.io/eg3d/media/eg3d.pdf

👉 @bigdata_1

Featurized Query R-CNN

Featurized object queries predicted by a query generation network in the well-established Faster R-CNN framework and develop a Featurized Query R-CN

Github: https://github.com/hustvl/featurized-queryrcnn

Paper: https://arxiv.org/abs/2206.06258v1

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

👉 @bigdata_1

Can CNNs Be More Robust Than Transformers?

CNN architectures without any attention-like operations that is as robust as, or even more robust than, Transformers.

Github: https://github.com/ucsc-vlaa/robustcnn

Paper: https://arxiv.org/abs/2206.03452v1

Dataset: https://paperswithcode.com/dataset/imagenet-r

👉 @bigdata_1

LIVE- Towards Layer-wise Image Vectorization

New method to progressively generate a SVG that fits the raster image in a layer-wise fashion.

Github: https://github.com/picsart-ai-research/live-layerwise-image-vectorization

Project: https://ma-xu.github.io/LIVE/

Paper: https://arxiv.org/pdf/2206.04655v1.pdf

Colab: https://colab.research.google.com/drive/1s108WmqSVH9MILOjSAu29QyAEjExOWAP?usp=sharing

👉 @bigdata_1

Age prediction of a speaker's voice

https://miykael.github.io/blog/2022/audio_eda_and_modeling/

👉 @bigdata_1

DoWhy | An end-to-end library for causal inference

"DoWhy" is a Python library that aims to spark causal thinking and analysis.

Github: https://github.com/py-why/dowhy

Docs: https://py-why.github.io/dowhy/

Paper: https://arxiv.org/abs/2206.06821v1

Video: https://note.microsoft.com/MSR-Webinar-DoWhy-Library-Registration-On-Demand.html

👉 @bigdata_1

Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping

PyGOD is a Python library for graph outlier detection (anomaly detection).

Github: https://github.com/pygod-team/pygod

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

Paper: https://arxiv.org/abs/2206.10071v1

👉 @bigdata_1

StrengthNet

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

Github: https://github.com/ttslr/strengthnet

Paper: https://arxiv.org/abs/2110.03156

MOSNet: https://github.com/lochenchou/MOSNet

👉 @bigdata_1

Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case

This library implements some of the most common (Variational) Autoencoder models.

Github: https://github.com/clementchadebec/benchmark_VAE

Paper: https://arxiv.org/abs/2206.08309v1

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

👉 @bigdata_1

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

DaisyRec-v2.0 is a Python toolkit developed for benchmarking top-N recommendation task.

Github: https://github.com/recsys-benchmark/daisyrec-v2.0

Command Generator : http://daisyrecguicommandgenerator.pythonanywhere.com/

Paper: https://arxiv.org/abs/2206.10848v1

Tutorial: https://github.com/recsys-benchmark/DaisyRec-v2.0/blob/main/DaisyRec-v2.0-Tutorial.ipynb

👉 @bigdata_1

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning

We introduce SoundSpaces 2.0, a platform for on-the-fly geometry-based audio rendering for 3D environments.

Github: https://github.com/facebookresearch/sound-spaces

Paper: https://arxiv.org/abs/2206.08312v1

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

👉 @bigdata_1

NU-Wave — Official PyTorch Implementation

Github: https://github.com/mindslab-ai/nuwave

Paper: https://arxiv.org/abs/2206.08545v1

Dataset: https://datashare.ed.ac.uk/handle/10283/3443

👉 @bigdata_1

Frequency Dynamic Convolution-Recurrent Neural Network (FDY-CRNN) for Sound Event Detection

Frequency Dynamic Convolution applied kernel that adapts to each freqeuncy bin of input, in order to remove tranlation equivariance of 2D convolution along the frequency axis.

Github: https://github.com/frednam93/FDY-SED

Paper: https://arxiv.org/abs/2206.11645v1

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

👉 @bigdata_1

Retrosynthetic Planning with Retro*

graph-based search policy that eliminates the redundant explorations of any intermediate molecules.

Github: https://github.com/binghong-ml/retro_star

Paper: https://arxiv.org/abs/2206.11477v1

Dataset: https://www.dropbox.com/s/ar9cupb18hv96gj/retro_data.zip?dl=0

👉 @bigdata_1

Bi-DexHands: Bimanual Dexterous Manipulation via Reinforcement Learning

Bi-DexHands provides a collection of bimanual dexterous manipulations tasks and reinforcement learning algorithms.

Github: https://github.com/pku-marl/dexteroushands

Isaac Gym: https://developer.nvidia.com/isaac-gym

Paper: https://arxiv.org/abs/2206.08686

👉 @bigdata_1

SETR - Pytorch

Github: https://github.com/920232796/setr-pytorch

Paper: https://arxiv.org/abs/2206.11520v1

Dataset: https://www.kaggle.com/c/carvana-image-masking-challenge/data

👉 @bigdata_1