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Panel: The powerful data exploration & web app framework for Python
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Efficient vision foundation models for high-resolution generation and perception.
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
ROS2 camera driver for GenICam-based GigEVision and USB3Vision cameras.
Visualize ROS topics inside a terminal with Unicode/ASCII art
Feature-rich wifi hotspot creator for Linux which provides both GUI and command-line interface. It is also able to create a hotspot using the same wifi card which is connected to an AP already ( Si…
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
ROS 2 driver package for Boston Dynamics' Spot
Examples of how to create colorful, annotated equations in Latex using Tikz.
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…
🌮 Trash Annotations in Context Dataset Toolkit
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Gradient based Hyperparameter Tuning library in PyTorch
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation