Pre-trained Deep Learning models and demos (high quality and extremely fast)
-
Updated
Nov 4, 2024 - Python
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
PyTorch to Keras model convertor
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
[ICLR 2022] Graph-Relational Domain Adaptation
ARCH: Audio Representations benCHmark
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Keyphrase Extraction Review
A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn
MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models. (EMNLP 2024 Findings)
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.
In this repository, I will keep my all Deep Learning project implementations.
Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
Iris Predictor with Deep Learning | Web App
The best chats with artificial intelligence
The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task
Compilation of Data Science and Machine Learning Projects Completed During My Bachelor's Degree
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers.
Add a description, image, and links to the deep-learning-models topic page so that developers can more easily learn about it.
To associate your repository with the deep-learning-models topic, visit your repo's landing page and select "manage topics."