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AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.
A collection of important graph embedding, classification and representation learning papers with implementations.
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Because sometimes you need to do it live
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
The PASS dataset: pretrained models and how to get the data
Builds json representation of PDF malware sample
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.