AI Agent Skills

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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

This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning tec…

**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of var…

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for…

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

Predict 1H NMR spectra from SMILES strings via NMRdb.org SPINUS neural network prediction and nmrsim quantum mechanical spin simulation.

Predict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network. Outputs predicted m/z vs intensity spectrum, fragment ion SMILES, a…

Attempt to predict future stock prices based on Google Trends data.

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this proj…

Visualize large time series data with plotly.py

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

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featuriza…