zhengminghu's starred repositories
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Chinese-LLaMA-Alpaca-2
ä¸ć–‡LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
self-driving-car-sim
A self-driving car simulator built with Unity
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
deepdetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Faster-RCNN_TF
Faster-RCNN in Tensorflow
TensorFlow-and-DeepLearning-Tutorial
A TensorFlow & Deep Learning online course I taught in 2016
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
dl_tutorials
Deep learning tutorials (2nd ed.)
tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
awesome-object-proposals
A curated list of object proposals resources for object detection
online_photometric_calibration
Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)
ssd_tensorflow
SSD implementation in development in TensorFlow
VINS-kidnap
a place recognition system for VINS-fusion
CenterPoint-Fusion
The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to generate 2D object mask information based on the camera images. Furthermore, the Cylinder3D is also adopted to produce the 3D semantic information of the input LiDAR point cloud. Then, an improved version of CenterPoint takes the painted points(with 2D instance segmentation and 3D semantic segmentation) as inputs for accurate object detection. Specifically, we replace the RPN module in CenterPoint with modified Spatial-Semantic Feature Aggregation(SSFA) to well address multi-class detection. A simple pseudo labeling technique is also integrated in a semi-supervised learning manner. In addition, the Test Time Augmentation(TTA) strategy including multiple flip and rotation operations is applied during the inference time. Finally, the detections generated from multiple voxel resolutions (0.05m to 0.125m) are assembled with 3D Weighted Bounding Box Fusion(WBF) technique to produce the final results.
SSD_keras_restnet
Use resnet as the base net for SSD
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners