deep-learning-models
There are 39 repositories under deep-learning-models topic.
openvinotoolkit/open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
gmalivenko/pytorch2keras
PyTorch to Keras model convertor
neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
MorenoLaQuatra/ARCH
ARCH: Audio Representations benCHmark
Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
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.
GitWR/SymNet
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).
gentaiscool/miners
MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models. (EMNLP 2024 Findings)
NC0DER/KeyphraseExtraction
Keyphrase Extraction Review
mike-gimelfarb/cascade-correlation-neural-networks
A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn
shsarv/Deep-Learning-Projects
In this repository, I will keep my all Deep Learning project implementations.
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.
kanch91/project-energy
Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
jacek-michalak/r2c2_blenderbot_3B_chats
The best chats with artificial intelligence
suvajit-patra/sl-hwgat-demo
Sign Language Recognition system with HWGAT model
arasgungore/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
arasgungore/awesome-deep-learning-papers
The most cited deep learning papers.
Furkan-Gulsen/iris_predictor_web_app
Iris Predictor with Deep Learning | Web App
Gaurav-Van/Data_Science__Machine_Learning-Projects
Compilation of Data Science and Machine Learning Projects Completed During My Bachelor's Degree
MorenoLaQuatra/SumTO_financial_summarization
The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task
AkhithaBabu/ICH-detection
Website pages for Model Deployment of ICH Detection using DL
HasibAlMuzdadid/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!
ihumaunkabir/Bengali-Handwritten-Digit-Recognition-Using-CNN-and-flask-app
A digit recognition application for Bengali Handwritten Digits.
iliastzanis/MScThesis-IonianUniversity
My Diploma Thesis for my MSc in Big Data & Networked Systems at Ionian University.
karimosman89/automl-framework
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.
liu-hai-yang/deep-learning-models
Keras code and weights files for popular deep learning models.
sayakpaul/model-card-generation-hf
Shows how to bulk generate model cards for models on 🤗 Hub.
sebastianmihai01/Deep-Intel
Autonomous Logistics, Statistics and Marketing Analysis
ysh329/deep-learning-operator
implementation, benchmark, optimization
handdl/btcnn
torch-like convolution over binary trees
sedeba19/DeepLearning.AI-Convolutional-Neural-Network-in-TensorFlow
DeepLearning.AI TensorFlow Developer Professional Certificate
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."
Lucky-akash321/Image-classification-using-CNN
This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model building, training, and evaluation steps.
maksonchek/ML-and-DL-models-from-scratch
In this project you will find a theoretical justification and implementation from scratch of the most popular models of machine and deep learning
yas-sim/openvino_open_model_zoo_tools_docker
Docker container to support easy access to the Intel's OpenVINO Open Model Zoo models.