Showing 41-60 of 162 projects
The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
A Python library for inspecting and explaining machine learning models and their predictions.
A repository with papers, code, and experiments using deep learning for time series forecasting.
Code for running RFdiffusion, a machine learning library for protein structure prediction.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A Python-based stock market analyzer and predictor using Elasticsearch, Twitter, news, and natural language processing.
This repository provides an official implementation of a paper on using transformers for time series forecasting.
A Keras implementation of BERT for feature extraction and prediction tasks.
A Python library for dense prediction transformers, a type of neural network architecture for computer vision and language tasks.
Framework for collecting and analyzing prediction market data with comprehensive Polymarket/Kalshi datasets.
This repository helps developers learn Python and Machine Learning from scratch.
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.
Predicts stock market prices using a recurrent neural network (RNN) model with multilayer LSTM cells.
A collection of stock analysis tools across various programming languages and platforms.
This is a tutorial on using deep learning for natural language processing with PyTorch.
A Python library for learning and evaluating knowledge graph embeddings
A Python library for making stock predictions using machine learning and historical stock data.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
A flexible machine learning framework for the Julia programming language, used for classification, clustering, and more.
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