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
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- system-design
- backend
- scalability
- interview
Apache Spark - A unified analytics engine for large-scale data processing
- python
- scala
- r
- java
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
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
- machine-learning
- mlops
- interpretability
- explainability
Wan: Open and Advanced Large-Scale Video Generative Models
- aigc
- video-generation
Wan: Open and Advanced Large-Scale Video Generative Models
- aigc
- videogeneration
Amplication brings order to the chaos of large-scale software development by creating Golden Paths for developers - streamlined workflows that drive consistency, enable high-quality code practices, simplify onboarding, and accelerate standardized delivery across teams.
APM, (Application Performance Management) tool for large-scale distributed systems.
- apm
- monitoring
- performance
- agent
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.
OvenMediaEngine (OME) is a Sub-Second Latency Live Streaming Server with Large-Scale and High-Definition. #WebRTC #LLHLS
Roshi is a large-scale CRDT set implementation for timestamped events.
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
- point-cloud
- partition
- semantic-segmentation
- pytorch
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
- 3d-reconstruction
- kinect
- computer-vision
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
BulkFormer: A large-scale foundation model for human bulk transcriptomes