Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
- programming
- development
- design
- design-system
Repository Index
47,133 repositories indexed
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Robust Speech Recognition via Large-Scale Weak Supervision
Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
Wan: Open and Advanced Large-Scale Video Generative Models
- aigc
- video-generation
Wan: Open and Advanced Large-Scale Video Generative Models
- aigc
- videogeneration
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
- point-cloud
- partition
- semantic-segmentation
- pytorch
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
- point-cloud
- deep-learning
- relocalization
- feature-learning