nicoledjy's starred repositories
Top-AI-Conferences-Paper-with-Code
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
awesome-knowledge-graph
整理知识图谱相关学习资料
object-detection-using-yolo
The repository contains files to build a object detection model using the yolo pre-trained weights. We have then applied transfer learning to train the model on the Berkley Driving dataset.
pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
surround_vehicles_awareness
Learn to map surrounding vehicles onto a bird's eye view of the scene.
Stereo-RCNN
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
YOLO-Object-Detection
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, we will apply the YOLO algorithm to detect objects in images.
monolayout
MonoLayout: Amodal Scene Layout from a single image
3D-BoundingBox
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
yolo_v1_pytorch
PyTorch implementation of YOLO-v1 including training
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
packnet-sfm
TRI-ML Monocular Depth Estimation Repository
DeeperCluster
Implements the unsupervised pre-training of convolutional neural networks
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
pylatexenc
Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
mmdetection-icevision
Project implemented for participating in the Russian IceVison hackathon.
LSTM-Classification-pytorch
Text classification based on LSTM on R8 dataset for pytorch implementation
yolo_v1_pytorch
PyTorch implementation of YOLO-v1 including training
HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
keras-retinanet
Keras implementation of RetinaNet object detection.
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.