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A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
Apple Official Precision Trackpad Drivers for Magic Trackpad 2
👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!
VAE-based reconstruction of orderbook states (volumes and prices). Experiments with MLP, Conv1D, hybrid architectures, and ensemble methods. Includes detrending, log-cumulative volumes, and compreh…
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
[NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"
This toolbox contains demo for polynomial and Lorentzian line-shape fitting (PLOF)
CEST MRI analysis using multi-pool Lorentzian fitting (MPLF)
A robust, easy-to-deploy non-uniform Fast Fourier Transform in TensorFlow.
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
Repository for the Bloch-McConnell simulation (BMsim) challenge
copy of Stanford's wavelab matlab library for dependent projects www-stat.stanford.edu/~wavelab/
Constrained total variation image reconstruction problem solved using the Split Bregman formulation where the Jacobian is provided as a matrix
Split Bregman for Total Variation Image Recovery
Split Bregman spatiotemporal total variation for MRI
APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate co…
Matlab Graphic User Interface (GUI) for compartmental analysis of tumor data based on reference tissue modelling.