ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
- ros
- ros-kinetic
- ros-packages
- rviz
Repository Index
47,133 repositories indexed
457–480 of 565 · Most stars
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
- grading
- assessment
- education
- e-assessment
Python-based implementations of algorithms for learning on imbalanced data.
- data-science
- machine-learning
- imbalanced-data
- notre-dame
A library for augmenting annotated audio data
- python
- music
- data-augmentation
- machine-learning
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
- ai-agents
- benchmark
- coding-agents
- embodied-ai
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
A fast xgboost feature selection algorithm
- machine-learning
- machine-learning-algorithms
- feature-selection
- xgboost-algorithm
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
Stacked Generalization (Ensemble Learning)
- stacking
- ensemble-learning
- scikit-learn
- xgboost
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
- shapley
- shapley-value
- owen
- voting-classifier
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
- awesome-list
- embodied-ai
- imitation-learning
- in-context-learning
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a platform for autonomous architecture research.
- auto-research
- benchmark
- deep-learning
- language-models
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation
PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.
DynaFlow: Learning Free-Form Multi-Agent Orchestration
The repository host gives no description.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
- micropython
- neural-network
- multilayer-perceptron
- mlp
A simple, flexible, and extensible template for PyTorch. It's beautiful.
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning