Torch-Pruning Alternatives

Similar projects and alternatives to Torch-Pruning

• SadTalker

  16 10,394 6.9 Python Torch-Pruning VS SadTalker

  [CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

  

• efficient-gnns

  2 525 0.0 Python Torch-Pruning VS efficient-gnns

  Code and resources on scalable and efficient Graph Neural Networks

• InfluxDB

  www.influxdata.com featured

  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.

  

• only_train_once

  1 261 8.9 Python Torch-Pruning VS only_train_once

  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

• nni

  5 13,742 6.7 Python Torch-Pruning VS nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  

• UPop

  1 83 8.4 Python Torch-Pruning VS UPop

  [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

• Painter

  1 2,426 4.9 Python Torch-Pruning VS Painter

  Painter & SegGPT Series: Vision Foundation Models from BAAI

  

• openscene

  3 548 4.9 Python Torch-Pruning VS openscene

  [CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• Pretrained-Language-Model

  1 2,960 6.1 Python Torch-Pruning VS Pretrained-Language-Model

  Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

  

• model-optimization

  1 1,470 6.8 Python Torch-Pruning VS model-optimization

  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.