Showing 141-160 of 162 projects
This repository provides projects for monocular depth estimation and 3D scene reconstruction from single images.
A tutorial for using TensorFlow to build time series prediction models.
A bio-computing platform for large-scale representation learning and multi-task deep learning on molecular and biological data.
A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.
An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
A curated list of papers on trajectory and motion prediction, a key topic in computer vision and robotics.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
A curated list of resources for time series forecasting, including papers, code, and other materials.
Open-source implementation of the AlphaFold3 deep learning model for protein structure prediction.
This Python repository provides code for training, evaluating, and predicting deep learning models.
SnappyData is a memory-optimized analytics database based on Apache Spark and Apache Geode, enabling real-time stream processing, transactions, and predictive analytics.
FaceAPI is a powerful library for face detection, recognition, and emotion prediction in the browser and Node.js using TensorFlow/JS.
A Jupyter Notebook project that uses deep learning techniques to predict cryptocurrency prices.
A collection of must-read papers on recommendation systems and CTR prediction for developers working in computational advertising and AI-driven applications.
This repository provides course materials for a reinforcement learning course, including lecture notes, tutorial tasks, and online videos.
Lightweight implementation of conformal prediction, a method for uncertainty estimation in machine learning.
A library for building and training discrete world models for Atari game environments using reinforcement learning.
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