Postgres with GPUs for ML/AI apps.
- ml
- machine-learning
- ai
- ann
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Representation learning on large graphs using stochastic graph convolutions.
Siamese and triplet networks with online pair/triplet mining in PyTorch
- machine-learning
- deep-learning
- siamese-network
- triplet-loss
A Toolkit for Industrial Topic Modeling
- topic-modeling
- topic-models
- lda
- sentence-lda
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.
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
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
- bilm
- elmo
- tensorflow
- machine-learning