Stars
Source code for training Gated Multimodal Units on MM-IMDb dataset
Scientific Computing with Python for beginners.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Ongoing research training transformer models at scale
A collection of awesome things regarding all omics.
List of software packages for multi-omics analysis
A collection of resources on applications of multi-modal learning in medical imaging.
Flops counter for convolutional networks in pytorch framework
A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Tools for generating mini-ImageNet dataset and processing batches
đź” Foreign language reading and translation assistant based on copy and translate.
Meta Learning for Semi-Supervised Few-Shot Classification
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
OpenMMLab Pre-training Toolbox and Benchmark
Algorithm and data structure articles for https://cp-algorithms.com (based on https://e-maxx.ru)
Textbooks (EE)CS majors at Berkeley would find helpful
ssh-based ping: measure character echo latency and bandwidth
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
OpenMMLab FewShot Learning Toolbox and Benchmark
[ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
Reading list for research topics in multimodal machine learning
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.