Distributed Deep learning with Keras & Spark
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World's first general purpose 3D object detection codebse.
- nuscenes
- 3d-object-detection
- point-cloud
- object-detection
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
OpenMMLab Foundational Library for Training Deep Learning Models
moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai
Learning to Recover from LLM Agent Failures at Test Time
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
- pointcloud
- convolutional-neural-networks
- deep-neural-networks
- machine-learning
Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
gradslam is an open source differentiable dense SLAM library for PyTorch
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
- backbone
- computer-vision
- image-classification
- backbone-networks
Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
A research toolkit for particle swarm optimization in Python
- particle-swarm-optimization
- optimization-tools
- pso
- global-optimization
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
Deep learning in Python
Train a deep learning net with OpenStreetMap features and satellite imagery.
Scalable machine 🤖 learning for time series forecasting.
- forecast
- forecasting
- machine-learning
- lightgbm
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
StarDist - Object Detection with Star-convex Shapes
- bioimage-analysis
- cell-segmentation
- nuclei-segmentation
- object-detection
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package