Popular GitHub Repositories for Med Sts

A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon.

Train and Infer Powerful Sentence Embeddings with AnglE | ? SOTA on STS and MTEB Leaderboard

Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

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an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

ExGra-Med: Medical Multi-Modal LLM with Extended Context Alignment

Machine translated multilingual STS benchmark dataset.

A higher quality RVC pretrained model to accelerate your training process.

Reinforcement Calibration SimCSE, combining contrastive learning, artificial potential fields, perceptual loss, and RLHF to achieve improved Semantic Textual Similarity (STS) embeddings. PyTorch-based implementations of PerceptualBERT and ForceBasedInfoNCE, along with fine-tuning capabilities via RLHF and evaluation using SentEval.

Multilingual Speech to Speech (STS) Translator is the First Ever Code-mixed English-Arabic speech to Bangla-Arabic Speech Translator

PL-MTEB: Polish Massive Text Embedding Benchmark

Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)

A tool for semantic textual similarity annotation

Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files

Project files contain PyTorch implementations for Siamese BiLSTM models for Semantic Text Similarity task on the SICK Dataset using FastText embeddings. Also contains Siamese BiLSTM-Transformer Encoder and SBERT fine-tuning implementations on the STS Data tasks.

Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's Med-Gemma).

A collection of Semantic Textual Similarity (STS) models and a framework for their evaluation on STS corpora with fine-grained similarity scores