AI Agent Skills

Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic featu…

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Named Entity Recognition using multilayered bidirectional LSTM

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

CNN+LSTM+CTC based OCR implemented using tensorflow.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

:microscope: Nano size Theano LSTM module

Design data-driven Godot 4.7 games with custom Resource classes: define typed data with class_name + @export, save/load .tres/.res files, instance and duplicate resource…

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…

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Search and read research papers. The main agent calls alphaXiv, OpenAlex, and bioRxiv discovery primitives, ranks the combined candidates, and chooses sources for focuse…

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting