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.

Keyphrase Extraction Review

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

A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn

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.

Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

Sign Language Recognition system with HWGAT model

The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task

Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!

A digit recognition application for Bengali Handwritten Digits.

Keras code and weights files for popular deep learning models.

Develop a framework that automatically selects the best machine learning model and hyperparameters for a given dataset. Implement techniques like Bayesian optimization for hyperparameter tuning.

Autonomous Logistics, Statistics and Marketing Analysis

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