RankGen - Improving Text Generation with Large Ranking Models

RankGen is a 1.2 billion encoder model which maps prefixes and generations from any language model (in continutation to the prefix) to a shared vector space.

Github: https://github.com/martiansideofthemoon/rankgen

Paper: https://arxiv.org/abs/2205.09726

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

👉 @bigdata_1

AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

Github: https://github.com/hongfz16/avatarclip

Colab demo: https://colab.research.google.com/drive/1dfaecX7xF3nP6fyXc8XBljV5QY1lc1TR?usp=sharing

Paper: https://arxiv.org/abs/2205.08535v1

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

Instructions: https://github.com/hongfz16/AvatarCLIP/blob/main/Avatar2FBX/README.md

👉 @bigdata_1

PYSKL: Towards Good Practices for Skeleton Action Recognition

Skeleton-based action recognition

Github: https://github.com/kennymckormick/pyskl

Paper: https://arxiv.org/abs/2205.09443v1

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

👉 @bigdata_1

Automated Crossword Solving

Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset.

Github: https://github.com/albertkx/berkeley-crossword-solver

Paper: https://arxiv.org/abs/2205.09665v1

Dataset: https://www.xwordinfo.com/JSON/

👉 @bigdata_1

Imagen unprecedented photorealism × deep level of language understanding From Google

Home: https://gweb-research-imagen.appspot.com/

Paper: https://gweb-research-imagen.appspot.com/paper.pdf

👉 @bigdata_1

Time-series Transformer Generative Adversarial Networks

Github: https://github.com/jsyoon0823/TimeGAN

Paper: https://arxiv.org/abs/2205.11164v1

Stock data: https://finance.yahoo.com/quote/GOOG/history

Energy data: http://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction

👉 @bigdata_1

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

Github: https://github.com/adlab-autodrive/bevfusion

Paper: https://arxiv.org/abs/2205.13790v1

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

👉 @bigdata_1

Perturbation Augmentation for Fairer NLP

Responsible NLP projects from Meta AI.

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

Paper: https://arxiv.org/abs/2205.12586v1

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

👉 @bigdata_1

Green Hierarchical Vision Transformer for Masked Image Modeling

Github: https://github.com/layneh/greenmim

Paper: https://arxiv.org/abs/2205.13515v1

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

👉 @bigdata_1

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Github: https://github.com/ShoufaChen/AdaptFormer

Paper: https://arxiv.org/abs/2205.13535v1

Dataset: https://paperswithcode.com/dataset/something-something-v2

👉 @bigdata_1

Surface Vision Transformers

Github: https://github.com/metrics-lab/surface-vision-transformers

Paper: https://arxiv.org/abs/2205.15836v1

👉 @bigdata_1

HIRL: A General Framework for Hierarchical Image Representation Learning

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

Paper: https://arxiv.org/abs/2205.13159v1

Dataset: https://paperswithcode.com/dataset/places205

👉 @bigdata_1

PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

Github: https://github.com/naiyugao/panopticdepth

Paper: http://arxiv.org/abs/2206.00468

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

👉 @bigdata_1

MaSIF- Molecular Surface Interaction Fingerprints: Geometric deep learning to decipher patterns in protein molecular surfaces.

MaSIF is a proof-of-concept method to decipher patterns in protein surfaces important for specific biomolecular interactions.

Github: https://github.com/LPDI-EPFL/masif

Paper: https://www.nature.com/articles/s41592-019-0666-6

Data: https://github.com/LPDI-EPFL/masif#MaSIF-data-preparation

👉 @bigdata_1

Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmark.

Github: https://github.com/naver/kapture-localization

Paper: https://arxiv.org/abs/2205.15761v1

Data: https://paperswithcode.com/dataset/inloc

👉 @bigdata_1

Text2Human - Official PyTorch Implementation

We synthesize full-body human images starting from a given human pose

Github: https://github.com/yumingj/Text2Human

Project: https://yumingj.github.io/projects/Text2Human.html

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

Paper: https://arxiv.org/abs/2205.15996v1

Dataset: https://github.com/yumingj/DeepFashion-MultiModal

Demo video: https://youtu.be/yKh4VORA_E0

👉 @bigdata_1

Optimizing Relevance Maps of Vision Transformers Improves Robustness

This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

Github: https://github.com/hila-chefer/robustvit

Colab: https://colab.research.google.com/github/hila-chefer/RobustViT/blob/master/RobustViT.ipynb

Paper: https://arxiv.org/abs/2206.01161

Dataset: https://github.com/UnsupervisedSemanticSegmentation/ImageNet-S

👉 @bigdata_1

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