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Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Learning embeddings for classification, retrieval and ranking.
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
Stock Price Prediction using Machine Learning Techniques
DeepMind's Tacotron-2 Tensorflow implementation
An open-source big data platform designed and optimized for the Internet of Things (IoT).
TDEngine2 is a cross-platform game engine
TeamTalk is a solution for enterprise IM
Pytorch Implementation of Google's TFT
The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.
⟁ Tendermint Core (BFT Consensus) in Go
Bitcoin price prediction using N-BEATS (Neural Basis Expansion Analysis for Interpretable Time Series Forecasting) algorithm. The algorithm consisted of 120 dense layers with each layer of 512 neurons. The model used residual connection for overcoming problems of vanishing gradient and overfit. Designed a series of 10 deep learning experiments for improving results and forecasting horizons. Also made the use of ensemble learning method by combining 5 deep learning models. Introduced outliers on purpose to evaluate the effects of on training and overall model testing.
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/
Basic use of tensorflow and implement some networks.
TextRank算法提取关键词的Java实现
基于PageRank的TextRank方法, 可以应用于中文关键词、短语、摘要提取程序,代码使用Scala编写。
The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.
Deep learning library featuring a higher-level API for TensorFlow.
A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.
TiDB is a distributed HTAP database compatible with the MySQL protocol
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
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.