Popular GitHub Repositories for Fomm Predictions

Real-time Claude Code usage monitor with predictions and warnings

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Using python and scikit-learn to make stock predictions

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

A selection of state-of-the-art research materials on trajectory prediction

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

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 and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

A stock trading bot that uses machine learning to make price predictions.

Tools for understanding how transformer predictions are built layer-by-layer

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Predict time-series with one line of code.

This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.

Live real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Source and Target Contributions to NMT Predictions".

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions

This is a repository for an object detection inference API using the Tensorflow framework.

TimeSHAP explains Recurrent Neural Network predictions.