learning SLAM,curse,paper and others

OpenVLA: An open-source vision-language-action model for robotic manipulation.

Controlnet extension of AnimateDiff.

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

WebUI extension for ControlNet, Integrated with ControlNetMediaPipeFace

Stable Diffusion web UI

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PyTorch CTC Decoder bindings

PyTorch CTC Decoder bindings

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

Caffe: a fast open framework for deep learning.

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

Character-Based Handwritten Text Transcription with Attention Networks

Generate text images for training deep learning ocr model

The dataset is used to train my own raccoon detector and I blogged about it on Medium

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

Unofficial maintenance repository of Torch7. It supports CUDA10.1, Volta, Turing, Docker https://hub.docker.com/r/nagadomi/torch7

Faster R-CNN (with support for Hard Negative Example Mining)

Train Faster R-CNN on WIDER FACE dataset

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow for Mobile Deployment

Bag of Visual Words and HOG based object detection in python/opencv

This branch is developed for deep face recognition

Deep Pose Estimation implemented using Tensorflow with Custom Architecture for fast inference.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.