https://developer.nvidia.com/how-to-cuda-Python python is one of the fastest growing and most popular programming languages available. However, as an interpreted language, it has been considered too slow for high-performance computing. That has now…
GPU Accelerated Compositing in Chrome Tom Wiltzius, Vangelis Kokkevis & the Chrome Graphics team updated May 2014 This code is changing due to Slimming Paint and thus there may be large changes in the future. Note also that some class names may have…
Python Tools for Machine Learning Python is one of the best programming languages out there, with an extensive coverage in scientific computing: computer vision, artificial intelligence, mathematics, astronomy to name a few. Unsurprisingly, this hold…
A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Admin Panels Libraries for administrative interfaces. Ajenti - The admin panel your servers deserve. django-suit - Alternative Django Admin-Inter…
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Intro Python library for building gui apps (think qt, gdk,processing) build from ground up for latest tech like gpu/GLes, multi-touch core parts (rendering, events/properties) written in c/cython Community great and active community on ML, IRC, githu…
http://en.wikipedia.org/wiki/Accelerated_processing_unit Accelerated processing unit From Wikipedia, the free encyclopedia This article needs additional citations for verification. Please help improve this article by adding citations to reliable…
Awesome Python A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Awesome Python Environment Management Package Management Package Repositories Distribution Build Tools Interactive Interpreter Fi…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
一.有关NumPy (一)官方解释 NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful…
import xgboost as xgb import numpy as np from sklearn.datasets import fetch_covtype from sklearn.model_selection import train_test_split import time # Fetch dataset using sklearn cov = fetch_covtype() X = cov.data y = cov.target # Create 0.75/0.25 tr…
