Official Implementation of TETA metric from ECCV22 paper: Tracking Every Thing In The Wild

Official electron build of draw.io

A collection of useful .gitignore templates

🛠 Toolbox to extend PyTorch functionalities

A playbook for systematically maximizing the performance of deep learning models.

A Simple Baseline for BEV Perception

A debugging and profiling tool that can trace and visualize python code execution

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone" CVPR 2023.

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

[ICCV 2019] Monocular depth estimation from a single image

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)

Flax is a neural network library for JAX that is designed for flexibility.

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

a machine learning framework

A toolkit for developing and comparing reinforcement learning algorithms.

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

VS Code in the browser

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Simplify your onnx model

🐍 Geometric Computer Vision Library for Spatial AI