nncf
PaK-Stocks
| nncf | PaK-Stocks | |
|---|---|---|
| 2 | 6 | |
| 842 | 3 | |
| 7.7% | - | |
| 9.7 | 5.3 | |
| 4 days ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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nncf
- FLaNK Stack Weekly 06 Nov 2023
-
NN mixed-precision quantization framework that supports TF?
I am aware of NNCF (https://github.com/openvinotoolkit/nncf), but it doesn't support mixed precision quantization for TF. What other frameworks support that for TF? (implement HAWQ or AutoQ algorithms for example)
PaK-Stocks
What are some alternatives?
gpt-llm-trainer
PyMISP - Python library using the MISP Rest API
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
json-masker - High-performance JSON masker library in Java with no runtime dependencies
nifi - Apache NiFi
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
autollm - Ship RAG based LLM web apps in seconds.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
CML_AMP_Chroma-Server-For-Vector-DB - Host a Chroma Server for Vector DB and Semantic Search, accessible via REST API