joebradly Goto Github PK

18.337_2015

agile_data_code

Chapter-wise code for Agile Data the O'Reilly book

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

apple-boost-buildscript

Script for building Boost for Apple platforms (iOS, iOS Simulator, tvOS, tvOS Simulator, OS X)

arpackexample

Arpack Examples

autostitching

C++ program for automatic large-scale aerial image stitching

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-code

各种源码实现（tensorflow,torch,theano,keras,...）

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-free-deep-learning-papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-modern-cpp

A collection of resources on modern C++

bda_py_demos

Bayesian Data Analysis demos for Python

berkeley

The Hacker Within at the University of California - Berkeley

bpvo

Faster than real time visual odometry

byte-of-python

Beginners book on Python - start here if you don't know programming

calidar

code to calibrate the internal parameters of spinning lidar sensors

ceigs

C Wrapper for ARPACK.

cifar10_denoising

A tiny example application of pytorch_prototyping, with an example training script.

ciml

A Course in Machine Learning

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

clrs

:notebook:Solutions to Introduction to Algorithms

clstm

A small C++ implementation of LSTM networks, focused on OCR.

cme257-advanced-julia

Advanced Topics in Scientific Computing with Julia

computationalphysics

For best reading of the website use

computationalphysics2

coms4995-s18

COMS W4995 Applied Machine Learning - Spring 18

content

Official content for Harvard CS109

contextdesc

Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++