Stars
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python sample codes for robotics algorithms.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
An open source implementation of CLIP.
An elegant PyTorch deep reinforcement learning library.
Object detection, 3D detection, and pose estimation using center point detection:
A simple, fully convolutional model for real-time instance segmentation.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
A highly efficient implementation of Gaussian Processes in PyTorch
Python package for the evaluation of odometry and SLAM
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Visual localization made easy with hloc
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
PyRobot: An Open Source Robotics Research Platform
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
High-quality implementations of standard and SOTA methods on a variety of tasks.