Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Repository Index
47,133 repositories indexed
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A toolkit for reproducible reinforcement learning research.
- rl-algorithms
- reproducibility
- pytorch
- tensorflow
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Examples of using each Illuminate component in non-Laravel applications
Clean PyTorch implementations of imitation and reward learning algorithms
- reward-learning
- inverse-reinforcement-learning
- imitation-learning
- gymnasium
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
An offline deep reinforcement learning library
- deep-reinforcement-learning
- deep-learning
- pytorch
- offline-rl
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
World's first general purpose 3D object detection codebse.
- nuscenes
- 3d-object-detection
- point-cloud
- object-detection
OpenMMLab Foundational Library for Training Deep Learning Models
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
- tensors
- named-tensors
- shape
- pytorch
Official PyTorch inference for Breeze TTS 2
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
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
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
A collection of computer vision pre-trained models.
A JavaScript library like PyTorch, with GPU acceleration.
- automatic-differentiation
- deep-learning
- javascript-library
- neural-networks
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
A rapid admin generator for Elixir & Phoenix
- phoenix
- admin
An autoML framework & toolkit for machine learning on graphs.
Audio processing by using pytorch 1D convolution network
- spectrogram-conversion-toolbox
- pytorch
- audio-processing
- preprocessing
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center