Stars
Spatial alignment of single cell transcriptomic data.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A beautiful, simple, clean, and responsive Jekyll theme for academics
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Selective Search reimplementation in PyTorch that allows to extract not only the bounding boxes, but also the region masks
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning eve…
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
Official PyTorch implementation of "Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds", CVPR2022
Files that take you from a jpeg or jpg file to the plotting of a the outline via a DFT.
draw any figure with maths using python
A technical report on convolution arithmetic in the context of deep learning
An Interactive Introduction to Fourier Transforms
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Draw your own fourier epicycle. The site also gives a brief explanation of the mathematics connecting fourier series and revolving epicycles.
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
Object Detection and Multi-Object Tracking
A paper list of object detection using deep learning.
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Awesome paper list with code about generative adversarial nets