Popular GitHub Repositories for Ground Estimator

Claude-Flow v2.0.0 Alpha represents a revolutionary leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator

Gort is a chatbot framework designed from the ground up for chatops.

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Experimental ground for optimizing memory of pytorch models

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.

使用BERT模型做文本分类；面向工业用途

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

TensorFlow implementation of Conversation Models

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models (ICLR 2024)