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

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awesome-knowledge-graph

整理知识图谱相关学习资料

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torchcv

TorchCV: a PyTorch vision library mimics ChainerCV

Language:PythonLicense:MITStargazers:392Issues:0Issues:0

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.

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MV3D

Multi-View 3D Object Detection Network for Autonomous Driving

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pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Language:Jupyter NotebookLicense:MITStargazers:967Issues:0Issues:0

surround_vehicles_awareness

Learn to map surrounding vehicles onto a bird's eye view of the scene.

Language:PythonLicense:MITStargazers:197Issues:0Issues:0

Stereo-RCNN

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

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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.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:169Issues:0Issues:0

monolayout

MonoLayout: Amodal Scene Layout from a single image

Language:PythonLicense:MITStargazers:199Issues:0Issues:0

3D-BoundingBox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

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darknet

Convolutional Neural Networks

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darknet

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

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yolo_v1_pytorch

PyTorch implementation of YOLO-v1 including training

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:4047Issues:0Issues:0

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

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packnet-sfm

TRI-ML Monocular Depth Estimation Repository

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DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

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Learning-Deep-Learning

Paper reading notes on Deep Learning and Machine Learning

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pylatexenc

Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

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mmdetection-icevision

Project implemented for participating in the Russian IceVison hackathon.

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LSTM-Classification-pytorch

Text classification based on LSTM on R8 dataset for pytorch implementation

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yolo_v1_pytorch

PyTorch implementation of YOLO-v1 including training

License:MITStargazers:1Issues:0Issues:0

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

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Faster_RCNN_for_Open_Images_Dataset_Keras

Faster R-CNN for Open Images Dataset by Keras

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keras-retinanet

Keras implementation of RetinaNet object detection.

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pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

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