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IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
fast.ai Courses
Bring together all the world mythologies and match the dates and places and facts.
Automatically exported from code.google.com/p/cuda-convnet2
In this work we are requested to implement a project in order to solve a Capacitated Warehouse Location Problem. A company plans to open n warehouses to satisfy the demands of m customers. Our objective is to minimize our costs of opening new warehouses’ fixed costs and transporting goods from warehouses to the customers with subject to limits of our warehouses and demands of our customers.
Convolutional Neural Networks
Data Analysis Using Python
A curated list of data science blogs
common data analysis and machine learning tasks using python
The Leek group guide to data sharing
Simple implementation of a decision tree in python
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
Image restoration with neural networks but without learning.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow
Open source guides for mastering deep learning to deploying deep learning in production in PyTorch.
A blog which talks about machine learning, deep learning and the Math. and Machine learning algorithms written from scratch.
Hands-on Deep Reinforcement Learning, published by Packt
Implementation of DeepID1 using tensorflow.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Deep Learning tutorials in jupyter notebooks.
A Deep Learning based project for colorizing and restoring old images (and video!)
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Dilated CNNs for NER in TensorFlow
Generate domain sinkhole (blacklist) files for DNSCrypt & pdnsd DNS servers
Code for 2nd place solution to the 2017 National Data Science Bowl
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.