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Type: User
Company: Google
Bio: Software engineer, Ph.D., and Kaggle triple master. Speech and NLP.
Location: Boston, MA
Blog: bagoftricks.ml
Type: User
Company: Google
Bio: Software engineer, Ph.D., and Kaggle triple master. Speech and NLP.
Location: Boston, MA
Blog: bagoftricks.ml
Open Source Neural Machine Translation in PyTorch
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Reinforcement learning environments with musculoskeletal models
Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
Latex code for making neural networks diagrams
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
PyTorch deep learning projects made easy.
Geometric Deep Learning Extension Library for PyTorch
Learning to Rank in TensorFlow
A high-performance distributed execution engine
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of papers on reinforcement learning applied to NLP
ROUGE summarization evaluation metric, enhanced with use of Word Embeddings
A Curated List of Must-read Papers on Recommender System.
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Semantic search using Transformers and others
Sentence Embeddings with BERT & XLNet
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.
A flexible, high-performance serving system for machine learning models
Hyperparameter Optimization for Keras Models
An Open Source Machine Learning Framework for Everyone
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
源码实现:《TensorFlow实战》黄文坚,唐源 著
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.