Xiongming Dai's repositories
TinyRayTracer
A simple implemention of ray tracing
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
ceres-solver
A large scale non-linear optimization library
CLIP-chimaeric
Scripts used for CLIP chimaeric analysis
Cpp-Primer
C++ Primer 5ed answers
DeepLearningBook
MIT Deep Learning Book in PDF format
Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
ElasticReconstruction
3D reconstruction system to creating detailed scene geometry from range video.
fire-detection
Fire detection using OpenCV
h2o-3
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
iai_kinect2
Tools for using the Kinect One (Kinect v2) in ROS
kcf
Kernelized Correlation Filter tracker
mlai
Machine learning and adaptive intelligence module for 2015.
Natural-Language-Processing-with-Python-Cookbook
Natural Language Processing with Python Cookbook, published by Packt
Numerical_Recipes
What I learnt from Numerical Recipes
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
SfM-Toy-Library
A toy library for Structure from Motion using OpenCV
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
stn.pytorch
pytorch version of spatial transformer networks
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.