Minerva is a framework for training machine learning models for researchers.
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Updated
Jul 2, 2024 - Python
Minerva is a framework for training machine learning models for researchers.
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
An all-in-one toolkit for computer vision
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
An official implementation for SSAMBA: Self-Supervised Audio Mamba
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
Implementations of various Self Supervised Learning methods
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Self-Supervised Vision Transformers for multiplexed imaging datasets
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
LLaRA: Large Language and Robotics Assistant
Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
This project is a scalable unified framework for deep graph clustering.
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
A python library for self-supervised learning on images.
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