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facedect

人脸检测 AdaBoost Cascade 具体参照的是吴建鑫的代码，进行了一点小的修改

fastmask

FastMask: Segment Multi-scale Object Candidates in One Shot

fastmaskrcnn

Mask RCNN in TensorFlow

fastmot

High-performance multiple object tracking based on YOLOv3/v4, Deep SORT, and optical flow

fastphotostyle

Style transfer, deep learning, feature transform

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow 1.12

fusion-ukf

An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

g2o

g2o: A General Framework for Graph Optimization

g2opy

Python binding of SLAM graph optimization framework g2o

gbdt

gbdt-1

A simple GBDT in Python

gcforest

Python implementation of deep forest method : gcForest

gcforest-1

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

gps_milemeter_imu_ekflocation

采用gps、里程计和电子罗盘作为定位传感器，EKF作为多传感器的融合算法，最终输出目标的滤波位置

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hellotsm

py-tsml demo

hybridastartrailer

A path planning algorithm based on Hybrid A* for trailer truck

improved-gan

code for the paper "Improved Techniques for Training GANs"

improvedocamcalib

This is an add-on to the OCamCalib toolbox by Scaramuzza et al.

inception_v3

A prediction demo by using tensorflow inception_v3.

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

kalman

Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman_simulation

kbfp

Kalman-and-Bayesian-Filters-in-Python

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.