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Accelerating Inference for Recommendation Systems (WSDM'21)
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
Deep Matching, Correlation and Prediction (DeepMCP) Model
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
This repository contains implementations and illustrative code to accompany DeepMind publications
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Official Implementation of How To Train Your Deep Multi-Object Tracker
天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Set up deep learning environment in a single command line.
code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
An open source library for deep learning end-to-end dialog systems and chatbots.
A Drug-Target Interaction Prediction Toolkit with State-of-the-Art Deep Learning Methods and its Applications in Drug Repurposing and Virtual Screening
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Medical image registration using deep learning (beta)
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
A pytorch adversarial library for attack and defense methods on images and graphs
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
A TensorFlow implementation of Baidu's DeepSpeech architecture
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Deep Learning for Spatio-Temporal Data
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"
PyTorch python project standard.
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.