👀 Sockeye

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch.

Code: https://github.com/awslabs/sockeye

Tutorial: https://github.com/awslabs/sockeye/blob/main/docs/tutorials/wmt_large.md

Paper: https://arxiv.org/abs/2205.06618v1

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🖇 A graph-transformer for whole slide image classification

Graph-Transformer (GT) that fuses a graph-based representation of an WSI and a vision transformer for processing pathology images.

Github: https://github.com/vkola-lab/tmi2022

Paper: https://arxiv.org/abs/2205.09671v1

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

☑️ TorchSSL

A Pytorch-based toolbox for semi-supervised learning.

Code: https://github.com/torchssl/torchssl

Paper: https://arxiv.org/abs/2205.07246v1

Logs and weights: https://onedrive.live.com/?authkey=%21AJ%2DwKMa%2DENcbk1s&id=AF426F3217F6565A%213488&cid=AF426F3217F6565A

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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

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🧍‍♂ 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

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☠️ 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

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📝 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/

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🦄 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

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⚙️ 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


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💻 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

📍 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

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🟢 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

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🔥 210 Machine Learning Projects (with Source Code) That You Can Build Today

Projects lists

🔻 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

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Surface Vision Transformers

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

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

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✈️ 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

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🔝 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

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🦠 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

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🔊A Python library for audio feature extraction, classification, segmentation and applications.

Code: PyAudioAnalysis