Repository Index

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

• deep-learning
• machine-learning

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

• python
• search
• nlp
• semantic-search

Translated100+ Chinese Word Vectors

• chinese
• chinese-word-segmentation
• embeddings
• word-embeddings

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Postgres with GPUs for ML/AI apps.

• ml
• machine-learning
• ai
• ann

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

• community-detection
• graph-clustering
• deepwalk
• networkx

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

• word2vec
• text-mining
• natural-language-processing
• glove

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

• ai
• graphs
• synerise
• embeddings

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

gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions