⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS
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Updated
May 29, 2026 - C++
⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS
Browser only AV1, HEVC Parser GUI
visualization tool for vector search index
A tiny approximate K-Nearest Neighbour library in Python based on Fast Product Quantization and IVF
A semantic search indexing system designed to efficiently retrieve top matching results from a database of 20 million documents. Given the embedding of a search query, it quickly identifies and returns the most relevant documents
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
PostgreSQL TurboQuant Index for PGVector
A machine learning system for identification of ovarian response and deployment of ovarian stimulation strategies in ART
Meta-analysis of DNA methylation in ART
A fully dynamic approximate nearest neighbor index built on Inverted File Index
A web application for predicting the chance of an IVF/ICSI cycle yielding a D5 embryo suitable for transfer or freezing.
Artifacts for the JIB Bahmni distribution
search osu maps by mapping style
Software-as-a-Medical-Device research prototype for AI-assisted intracytoplasmic sperm injection (ICSI). Two-stage YOLOv8 pipeline (multi-class detection plus polygon segmentation) to support sperm selection, immobilization, and injection. Django web app with live and recorded video annotation.
Predicting the probability of an IVF patient having an embryo suitable for D5 transfer or freezing.
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