Popular GitHub Repositories for Watch Movement

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A Unity library for common movement AI

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! ?

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

? Introducing ? CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents ? collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, ? gaming, ? education, and more! ?

Use NLP to predict stock price movement associated with news

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

Humane ai pin on the Apple watch

Using Machine Learning to predict the type of exercise from movement data

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

An AI model used to help with the workout session by keeping track of counts and movement.

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. TPAMI 2018.

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Real time face landmarking using decision trees and NN autoencoders

? Experience the enchantment of Story Blocks: an open-source project merging AI text generation and image synthesis to create captivating video narratives. ?? Watch as your text prompts come to life with stunning visuals, exploring new frontiers in storytelling!

Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)