UPop Alternatives

Similar projects and alternatives to UPop

• Torch-Pruning

  2 2,288 9.6 Python UPop VS Torch-Pruning

  [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

• image-captioning

  1 29 3.1 Python UPop VS image-captioning

  Image captioning using python and BLIP

• WorkOS

  workos.com sponsored

  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.

  

• BLIP

  14 4,242 0.0 Jupyter Notebook UPop VS BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  

• sparseml

  12 1,974 9.6 Python UPop VS sparseml

  Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

  

• neural-compressor

  3 1,950 9.8 Python UPop VS neural-compressor

  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  

• model-optimization

  1 1,465 6.7 Python UPop VS model-optimization

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

  

• OFA

  3 2,323 2.8 Python UPop VS OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• Coin-CLIP

  2 9 7.9 Python UPop VS Coin-CLIP

  Coin-CLIP: fine-tuned with a vast collection of coin images from CLIP using contrastive learning. It enhances feature extraction for coins, boosting image search accuracy. This model merges Visual Transformer (ViT) with CLIP's multimodal learning, optimized for numismatic applications.