jack6099boy's Stars
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
erikwijmans/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
ucbdrive/few-shot-object-detection
Implementations of few-shot object detection benchmarks
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
luxonis/depthai
DepthAI Python API utilities, examples, and tutorials.
TreborNamor/TradingView-Machine-Learning-GUI
Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
hichenway/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
oreillymedia/t-SNE-tutorial
A tutorial on the t-SNE learning algorithm
F2Wang/ObjectDatasetTools
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
lianghongzhuo/PointNetGPD
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
andyzeng/arc-robot-vision
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
NVlabs/6dof-graspnet
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
jsll/pytorch_6dof-graspnet
NVlabs/dex-ycb-toolkit
A Python package that provides evaluation and visualization tools for the DexYCB dataset
nqanh/affordance-net
AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018
MSiam/Few-Shot-Learning
danganea/iMTFA
Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'
YU1ut/imprinted-weights
Code for 'Low-Shot Learning with Imprinted Weights'
AnalyzerREST/tradingview-list
List of TradingView's symbol, exchange, and screener.
yzqin/s4g-release
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scene
aegorfk/Mask_RCNN-for-SUN-RGB-D
Mask R-CNN for image segmentation of SUN RGB-D and NYU datasets
orestis-z/mask-rcnn-rgbd
Extended Mask R-CNN for RGB-D object instance segmentation based on Matterport's implementation. Segmentation accuracy improved by up to 31% using the additional depth input channel.
chenxi-wang/ycb-scripts
Scripts to generate and process point clouds in YCB dataset.
liruiw/HCG
Cluttered-Scene 6D Grasping with Latent Plans
Cielo0w0/Practice
H-HChen/GA-DDPG
A 6D Grasping Policy for Point Clouds