Sample Code for Gated Graph Neural Networks

[SDM 2022] Towards Similarity-Aware Time-Series Classification

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Quant/Algorithm trading resources with an emphasis on Machine Learning

Re-play Security Events

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Indicators from Unit 42 Public Reports

🔥 Everything about web-application firewalls (WAF).

Code for paper "Temporal Relational Ranking for Stock Prediction"

A Deep Reinforcement Learning Challenge on Forex Portfolio Management

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning eve…

A curated list of awesome decompilation resources and projects.

Paper Lists for Graph Neural Networks

bert nlp papers, applications and github resources ， BERT 相关论文和 github 项目

Neural machine translation and sequence learning using TensorFlow

Implementation of papers for text classification task on DBpedia

Deep Learning and applications in Startups, CV, Text Mining, NLP

1st place solution

A curated list of awesome Machine Learning frameworks, libraries and software.

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Representation learning on large graphs using stochastic graph convolutions.

Implementation of Graph Convolutional Networks in TensorFlow

Training computational graph on top of structured data (string, graph, etc)

Sentiment Analysis with LSTMs in Tensorflow

Unsupervised Language Modeling at scale for robust sentiment classification

Learning to trade under the reinforcement learning framework