| 08/19 | 9 |
RAG engine combining large language models with document understanding for accurate question answering and citation.
|
| 07/31 | 9 |
Viewer for neural network, deep learning, and machine learning models.
JavaScript
33369☆
5715d old
#javascript
#neural-network
#deep-learning
#machine-learning
#deeplearning
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| 08/19 | 8 |
FiftyOne is a tool for visualizing and labeling datasets, evaluating computer vision models, and improving data and model quality.
TypeScript
11033☆
2316d old
#javascript
#typescript
#deep-learning
#machine-learning
#artificial-intelligence
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| 08/19 | 8 |
Deep learning package for many-body potential energy representation and molecular dynamics.
|
| 08/14 | 8 |
Viewer for neural network, deep learning, and machine learning models.
JavaScript
33369☆
5715d old
#javascript
#neural-network
#deep-learning
#machine-learning
#deeplearning
|
| 08/13 | 8 |
Tool for packaging machine learning models in production-ready containers.
|
| 08/07 | 8 |
Viewer for neural network, deep learning, and machine learning models.
JavaScript
33369☆
5715d old
#javascript
#neural-network
#deep-learning
#machine-learning
#deeplearning
|
| 07/31 | 8 |
FiftyOne is a tool for visualizing and labeling datasets, evaluating computer vision models, and improving data and model quality.
TypeScript
11033☆
2316d old
#javascript
#typescript
#deep-learning
#machine-learning
#artificial-intelligence
|
| 08/05 | 7 |
FiftyOne is a tool for visualizing and labeling datasets, evaluating computer vision models, and improving data and model quality.
TypeScript
11033☆
2316d old
#javascript
#typescript
#deep-learning
#machine-learning
#artificial-intelligence
|
| 08/12 | 6 |
ONNX Runtime integration enabling machine learning inference within PostgreSQL databases.
|
| 08/11 | 6 |
End-to-end pipeline for VLM-powered image/video auto-annotation, SAM-based mask refinement, manual correction, multi-format export, and one-click YOLO training and validation.
|
| 07/28 | 6 |
Command-line interface for running and monitoring machine learning training jobs with GPU cluster resource management.
|
| 08/27 | 5 |
Tiny machine-learning framework for Go, implementing forward passes, backpropagation, and optimization with optional SIMD and WebGPU acceleration.
|
| 08/27 | 5 |
Tiny machine-learning framework for Go, implementing forward passes, backpropagation, and optimization with optional SIMD and WebGPU acceleration.
|
| 08/27 | 5 |
Tiny machine-learning framework for Go, implementing forward passes, backpropagation, and optimization with optional SIMD and WebGPU acceleration.
|
| 08/18 | 5 |
Go binding for TensorFlow Lite, providing model loading, interpreter setup, and tensor input/output access with optional Edge TPU support.
|
| 08/17 | 5 |
Go binding for TensorFlow Lite, providing model loading, interpreter setup, and tensor input/output access with optional Edge TPU support.
|
| 07/30 | 5 |
Production-ready ML framework for Go with zero dependencies, type-safe tensors, automatic differentiation, and single-binary deployment.
|
| 08/04 | 4 |
Production-ready ML framework for Go with zero dependencies, type-safe tensors, automatic differentiation, and single-binary deployment.
|
| 08/03 | 4 |
Production-ready ML framework for Go with zero dependencies, type-safe tensors, automatic differentiation, and single-binary deployment.
|
| 08/01 | 4 |
Production-ready ML framework for Go with zero dependencies, type-safe tensors, automatic differentiation, and single-binary deployment.
|
| 07/31 | 4 |
Production-ready ML framework for Go with zero dependencies, type-safe tensors, automatic differentiation, and single-binary deployment.
|