fangyizhang Goto Github PK

100-gdb-tips

A collection of gdb tips. 100 maybe just mean many here.

advanced_multiprocessor_programming

VU Advanced Multiprocessor Programming, TU Wien, SS 2013

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

caffe

Caffe: a fast open framework for deep learning.

cgdb-manual-in-chinese

《CGDB中文手册》

cikmolddriver

crime_analytics_assignment6

coursera_homework

cvxpy

A Python-embedded modeling language for convex optimization problems.

darknet

Convolutional Neural Networks

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepnetsforeo

Deep networks for Earth Observation

east

A tensorflow implementation of EAST text detector

fastxml

FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fyzhang.github.io

homework

Imitation Learning Homework 1

kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

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.

mlnet

A Deep Multi-Level Network for Saliency Prediction. ICPR 2016.

models

Models and examples built with TensorFlow

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

opencv

Open Source Computer Vision Library

probabilistic-graphical-models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

pspnet

Pyramid Scene Parsing Network

pythoncextensions

Comparing the performance of Python, NumPy and C extensions

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

raster-vision

deep learning for aerial/satellite imagery

rcf

Richer Convolutional Features for Edge Detection

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction