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Name: david zhang
Type: User
Bio: I'm a researcher in AI in Toronto of Canada, I'm good at Machine Learning, Image recognition and Text Generation, Deep learning, GAN and so on.
Location: Toronto Canada
Name: david zhang
Type: User
Bio: I'm a researcher in AI in Toronto of Canada, I'm good at Machine Learning, Image recognition and Text Generation, Deep learning, GAN and so on.
Location: Toronto Canada
SRS is a RTMP/HLS/WebRTC/SRT/GB28181 streaming cluster, high efficiency, stable and simple.
A Keras port of Single Shot MultiBox Detector
Stanford Open Information Extraction - Python Wrapper
2D stereo image to 3D model generation
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Embedding stocks to vectors based on the price history
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Stock Market Prediction Using Unsupervised Features
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).
StyleGAN - Official TensorFlow Implementation
SuiteCRM - Open source CRM for the world
Technical Analysis Library using Pandas (Python)
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
The Taichi programming language
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。
tensorflow+bert+seq2seq 周公解梦。AI遇上玄学,说出你的梦境(dream),模型自动解析decode梦境的征兆。类似聊天机器人(chatbot,QA),你问我答。
Collection of generative models in Tensorflow
TensorFlow Tutorials with YouTube Videos
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
Tensorflow chatbot demo by @Sirajology on Youtube
test
NLP, before and after spaCy
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.
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.