Comments (1)
done in c2ea296
from jvector.
Related Issues (20)
- Quantization does not reduce memory usage HOT 2
- Nullpointer Exception when running Sift bench on JDK 21.0.2 HOT 1
- HMGraphCache boxes a lot of integers HOT 2
- Larger dataset 1M not found HOT 1
- Problems running bench with 1M files HOT 6
- jvector allocates lot of java.util.stream.Streams$RangeIntSpliterator
- AI- learning how to code
- GraphIndexBuilder.load() is broken after 3.0.0-alpha.3 HOT 1
- DenseIntMap size can become permanently out-of-sync HOT 5
- Eliminate redundant per-query CosineDecoder calculations
- Consider removing caching of vectors in CachingGraphIndex
- Consider allowing reuse of vector object in View.getVector
- Consider removing non-offset Vector functions
- Move vector read methods into the RAR interface/implementations
- Refactor SearchResult to avoid NodeScore[] allocations HOT 2
- Remove getVector or provide default implementation based on getVectorInto
- Encapsulate difference between similarity/bulk similarity in the score function API
- Introduce FloatSequences
- Refactor GraphIndex.View to make ADCView interface unnecessary
- NativeVectorizationProvider causes regression in BQ recall HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from jvector.