yaqinzhou Goto Github PK

app-dl

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

awesome-bert

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

awesome-decompilation

A curated list of awesome decompilation resources and projects.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-machine-learning

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

awesome-machine-learning-on-source-code

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

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

awesome-waf

🔥 Everything about web-application firewalls (WAF).

code-with-paper

event-driven-stock-prediction-using-deep-learning

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 event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

forex-rl-challenge

A Deep Reinforcement Learning Challenge on Forex Portfolio Management

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

graphnn

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

graphsage

Representation learning on large graphs using stochastic graph convolutions.

iocs

Indicators from Unit 42 Public Reports

kaggle-web-traffic

1st place solution

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

opennmt-tf

Neural machine translation and sequence learning using TensorFlow

qlearning_trading

Learning to trade under the reinforcement learning framework

security-datasets

Re-play Security Events

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

simtsc

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

stock-prediction-models

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

temporal_relational_stock_ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

test

text-classification

Implementation of papers for text classification task on DBpedia

trading-and-deep-learning-papers

Collection of papers that use deep learning to find signals

ts-tcc

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