Projects in Awesome Lists tagged with deep-learning-models

https://github.com/openvinotoolkit/open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

caffemodel cnn-model deep-learning-models demo inference model model-zoo models onnx-models openvino openvino-model-zoo openvino-models openvino-toolkit pytorch-models tensorflow-models

Last synced: 13 May 2025

https://github.com/neuralmagic/sparseml

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

automl computer-vision-algorithms deep-learning-algorithms deep-learning-library deep-learning-models image-classification keras nlp object-detection onnx pruning pruning-algorithms pytorch smaller-models sparsification sparsification-recipes sparsity tensorflow transfer-learning

Last synced: 14 May 2025

https://github.com/gmalivenko/pytorch2keras

PyTorch to Keras model convertor

converter darts deep-learning deep-learning-models densenet imagenet keras keras-model-convertor keras-models keras-neural-networks keras-tensorflow machinelearning models-converter onnx pytorch pytorch-models resnet tensorflow tensorflow-models tensorflowjs

Last synced: 16 May 2025

https://github.com/neuralmagic/sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

computer-vision deep-learning-algorithms deep-learning-models mobilenet models-optimized nlp object-detection-model pretrained-models pruning quantization resnet smaller-models sparse-quantized-models sparsification-recipe transfer-learning yolo

Last synced: 16 May 2025

https://github.com/superbrucejia/pytorch-flask-deploy-webapp

This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.

bilstm-crf bilstm-crf-model deep-learning deep-learning-models docker docker-container dockerfile flagger flask-application flask-docker flask-docker-demo medical medical-application medical-application-webapp named-entity-recognition python pytorch pytorch-models webapp

Last synced: 13 Jul 2025

https://github.com/gentaiscool/miners

MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models. (EMNLP 2024 Findings)

benchmark classification deep-learning deep-learning-models efficient generation language-model large-language-models llm machine-learning miner miners ml multilingual nlp retrieval semantic-retrieval sentence-transformers transformers

Last synced: 31 Jul 2025

https://github.com/yas-sim/openvino-ir-utility

Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.

deep-learning deep-learning-models feature-map intel model-weights openvino openvino-toolkit python

Last synced: 22 Apr 2025

https://github.com/furkan-gulsen/iris_predictor_web_app

Iris Predictor with Deep Learning | Web App

deep-learning deep-learning-algorithms deep-learning-models flask flask-application flask-web iris-classification iris-dataset

Last synced: 16 Oct 2025

https://github.com/gaurav-van/data_science__machine_learning-projects

Compilation of Data Science and Machine Learning Projects Completed During My Bachelor's Degree

classification data data-science data-science-projects data-visualization deep-learning deep-learning-models deep-learning-projects deep-neural-networks inceptionv3 machine-learning machine-learning-projects python regression streamlit

Last synced: 23 Jun 2025

https://github.com/sayakpaul/model-card-generation-hf

Shows how to bulk generate model cards for models on 🤗 Hub.

deep-learning-models hub huggingface model-card

Last synced: 02 Apr 2025

https://github.com/ysh329/deep-learning-operator

implementation, benchmark, optimization

deep-learning deep-learning-models deep-neural-network operator optimization-algorithms

Last synced: 11 Oct 2025

https://github.com/jelhamm/deep-learning-with-python-second-edition

"Implementations of deep learning concepts from Deep Learning with Python (Second Edition) by François Chollet. Includes hands-on examples, code exercises, and practical applications using TensorFlow and Keras."

deep-learning deep-learning-book deep-learning-models deep-learning-projects hands-on-machine-learning jupyter-notebook keras practical-applications python python-book tensorflow