1.openai / CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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10 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Retrieval and Retrieval-augmented LLMs
UCE is a zero-shot foundation model for single-cell gene expression data
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Library for fast text representation and classification.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
repository for Publicly Available Clinical BERT Embeddings
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.