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Name: 春笋
Type: User
Name: 春笋
Type: User
PyTorch Vision Toolbox not only for deep-clustering
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
videos, lectures, blogs for Deep Learning
code repository for Deep learning for NLP using Python (v), Published by Packt
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Deep Neural Network Ensembles for Extreme Classification
Hands-on Deep Reinforcement Learning, published by Packt
This project explorers enhancements to traditional Siamese Architecture to achieve better accuracy by incorporating more semantic information. I have explored 3 enhancements :
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Pytorch implementation of "Hiding Images in Plain Sight: Deep Steganography" for Global NIPS Paper Implementation Challenge
Text recognition (optical character recognition) with deep learning methods.
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
Easing non-convex optimization with neural networks.
A set of RESTful APIs for computer vision and image processing with PyTorch and Flask.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A collection of various deep learning architectures, models, and tips
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Natural Language Processing Lessons -from Jason Brownlee's blog: https://machinelearningmastery.com/crash-course-deep-learning-natural-language-processing/
TensorFlow Basic Tutorial Labs
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Automatically remove the mosaics in images and videos, or add mosaics to them.
Official implementation of How To Train Your Deep Multi-Object Tracker
Deep NLP Course
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.