Stars
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Python package for processing image-based profiling data
Shapley Interactions and Shapley Values for Machine Learning
Molecular visualization for MDAnalysis with MolecularNodes in Blender
pdb++, a drop-in replacement for pdb (the Python debugger)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A complete computer science study plan to become a software engineer.
Train the HRNet model on ImageNet
Self-supervised learning of cell type specificity from immunohistochemical images
Unofficial PyTorch implementation of "Meta Pseudo Labels"
Google Research
Flops counter for neural networks in pytorch framework
CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
A comprehensive list of awesome contrastive self-supervised learning papers.
A more object-oriented python implementation of multi-template matching (mtm), relying on scikit-image and shapely.
Object-recognition using multiple templates in python
Three dimensional cross-modal image inference
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
DeepCell Kiosk Distribution for Kubernetes on GKE and AWS
GUI-based software for training, evaluating and applying deep neural nets for image classification
Implementation of Deep Capsule Network using Convolutional Dynamic Routing
Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.
Siamese and triplet networks with online pair/triplet mining in PyTorch