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Type: Organization
Type: Organization
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Minimal and clean examples of machine learning algorithms
Models built with TensorFlow
a demo shows that how to use rockchip mpp framework in linux
The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
NLP framework in python for entity recognition and relationship extraction
基于句法分析的命名实体关系抽取程序
Natural Language Processing with TensorFlow, published by Packt
Neo4j+springboot+vue+d3.js知识图谱构建和可视化
Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)
Recent Advances and New Frontiers
Implementation for the Neural Logic Machines (NLM).
Unofficial source code for https://arxiv.org/abs/1907.03950
A lab project impletementing the Neural State Machine
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
Nuerapse simulations for SNNs
Text2SQL 语义解析数据集、解决方案、paper资源整合项目
MCTS for NLG
Gathers machine learning and Tensorflow deep learning models for NLP problems
:book: [译] Python 自然语言处理 第二版
YSDA course in Natural Language Processing
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Deep neural network kernel for Gaussian process
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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.