Factor Research
nuglifeleoji
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic featu…
OPENAGENTSKILL / DIRECTORY
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Results: 31
nuglifeleoji
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic featu…
NourozR
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
watsonyanghx
CNN+LSTM+CTC based OCR implemented using tensorflow.
SC4RECOIN
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
kaushikjadhav01
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask an…
imhgchoi
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
tesseract-ocr
Tesseract Open Source OCR Engine (main repository)
curiousily
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…
lilianweng
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
abdulfatir
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
LiamConnell
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic t…
jiegzhan
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
JordiCorbilla
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting