learnergy
Energy-based ML library
A Python library providing an easy-to-use implementation of energy-based machine learning algorithms.
💡 Learnergy is a Python library for energy-based machine learning models.
65 stars
8 watching
8 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
dbnenergymachine-learningpythonpytorchrbm
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source Python package and daemon that helps measure and optimize the energy consumption of deep learning workloads. | 224 |
| A Python library for natural language processing with adversarial learning capabilities | 23 |
| An implementation of an optimum-path forest classifier using Python | 34 |
| A framework for running reinforcement learning experiments on energy systems | 175 |
| Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
| Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
| A software library for solving models of geological energy systems using mathematical equations. | 8 |
| A Python toolbox for simulating and controlling electric motors with a focus on reinforcement learning and classical control. | 311 |
| A PyTorch implementation of L-BFGS optimization algorithm for training neural networks | 591 |
| Source code and data for a machine learning book with Python tutorials | 393 |
| Enables distributed deep learning with Keras and Spark for scalable model training | 1,574 |
| A Python library for optimizing energy assets using mixed-integer linear programming to balance electricity and heat demand. | 90 |
| A PyTorch-based framework for training large language models in parallel on multiple devices | 679 |
| A high-level machine learning library built on Gorgonia for Go that aims to provide an easy-to-use interface for building and training neural networks. | 373 |
| This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |