- model-optimization VS deepsparse
- model-optimization VS qkeras
- model-optimization VS sparseml
- model-optimization VS 3d-model-convert-to-gltf
- model-optimization VS aimet
- model-optimization VS larq
- model-optimization VS only_train_once
- model-optimization VS nncf
- model-optimization VS Torch-Pruning
- model-optimization VS Pretrained-Language-Model
Model-optimization Alternatives
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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only_train_once
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
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Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
model-optimization reviews and mentions
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Need Help With Pruning Model Weights in Tensorflow 2
I have been following the example shown here, and so far I've had mixed results and wanted to ask for some help because the resources I've found online have not been able to answer some of my questions (perhaps because some of these are obvious and I am just being dumb).
Stats
tensorflow/model-optimization is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of model-optimization is Python.
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