tpnguyen Goto Github PK
Type: User
Type: User
Kaggle's competition for using Google's word2vec package for sentiment analysis
Deep Learning with MXNet's Gluon API
A brand logo recognition system using deep convolutional neural networks.
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.
Python package for performing Entity and Text Matching using Deep Learning.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Implementations of CNNs, RNNs and deep learning techniques in pure Numpy
http://vlsiarch.eecs.harvard.edu/research/recommendation/
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
DeepWalk - Deep Learning for Graphs
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
End-to-End Object Detection with Transformers
dhcplb is Facebook's implementation of a load balancer for DHCP.
A high performance replicated log service. (The development is moved to Apache Incubator)
The basic distribution probability Tutorial for Deep Learning Researchers
Source code for 'Dive Into Python' by Mark Pilgrim
Dive Into HTML5 online book
[Mirror] Dive Into Python 3 online book
Papers that I'm curious about
Notebooks for learning deep learning
An implementation of a deep learning recommendation model (DLRM)
A common bricks library for building scalable and portable distributed machine learning.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Tutorial and review of word2vec / doc2vec
This jupyter notebook implements an algorithm to count possible covers of m x n rectangle with 1 x 2 dominoes.
Lua/Torch implementation of DQN (Nature, 2015)
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.