hyperlearn
ML framework
An optimized machine learning framework using PyTorch that improves performance and efficiency on various hardware configurations
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
2k stars
91 watching
130 forks
Language: Jupyter Notebook
last commit: about 1 month ago
Linked from 2 awesome lists
data-analysisdata-sciencedeep-learningeconometricsgpumachine-learningneural-networkoptimizationpythonpytorchregression-modelsresearchscikit-learnstatisticsstatsmodelstensor
academic/awesome-datascience
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |
 denosaurs/netsaur | A machine learning library with GPU, CPU, and WASM backends for building neural networks. | 232 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 556 |
 somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
 erfanzar/easydel | A flexible framework for training and serving machine learning models with JAX/Flax | 206 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 39 |
 mloptpsu/fedtorch | A software framework for benchmarking and implementing various algorithms in federated learning and distributed optimization using PyTorch Distributed API. | 188 |
 mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,442 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
 jedld/tensor_stream | A Ruby-based framework for building and deploying machine learning models on various hardware platforms. | 507 |
 subho406/omninet | An implementation of a unified architecture for multi-modal multi-task learning using PyTorch. | 512 |
 kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |