tianboguangding's repositories
caffe-face
This branch is developed for deep face recognition
caffe_ocr
主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构
CVPR15-CFSS
Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching
Dense-Landmark-Detection
Learning Deep Representation from Coarse to Fine for Face Alignment
DRL-FlappyBird
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
face_detect_n_track
Fast and robust face detection and tracking
FastMaskRCNN
Mask RCNN in TensorFlow
g2o
g2o: A General Framework for Graph Optimization
matconvnet
MatConvNet: CNNs for MATLAB
mini-caffe
Minimal runtime core of Caffe, Forward only and GPU support.
MTCNN-1
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
MTCNN-light
this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows
mx-maskrcnn
A MXNet implementation of Mask R-CNN
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
nochi
Minimalistic AlphaGoZero-like Engine
NormFace
NormFace: L2 HyperSphere Embedding for Face Verification
prepare-faces-zyf
prepare faces for face recognition training
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
sphereface
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
stock_market_reinforcement_learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow