An Open Source Machine Learning Framework for Everyone
-
Updated
Jun 1, 2024 - C++
#
Deep neural networks
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
Here are 7,892 public repositories matching this topic...
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
python
flask
data-science
machine-learning
r
statistics
deep-neural-networks
deep-learning
deployment
analytics
data-visualization
datascience
data-analysis
heroku-deployment
streamlit-webapp
-
Updated
Jun 1, 2024 - Jupyter Notebook
Open standard for machine learning interoperability
machine-learning
deep-neural-networks
deep-learning
neural-network
mxnet
tensorflow
scikit-learn
keras
ml
dnn
pytorch
onnx
-
Updated
Jun 1, 2024 - Python
Automated detection of COVID-19 in real time can greatly help clinicians to handle increasing number of cases for preliminary screening. Deep CNN models trained with sufficiently large datasets may become best candidates to meet the purpose.
-
Updated
Jun 1, 2024 - Jupyter Notebook
Deep Learning Projects and Examples
-
Updated
Jun 1, 2024 - Python
-
Updated
Jun 1, 2024 - Python
-
Updated
Jun 1, 2024 - TeX
Sustainable agriculture is farming in sustainable ways meeting society's present food and textile needs, without compromising the ability for current or future generations to meet their needs.
deep-neural-networks
image-processing
data-structures
image-classification
food-products
agriculture-research
-
Updated
Jun 1, 2024 - Jupyter Notebook
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
machine-learning
deep-neural-networks
course
deep-learning
genetic-algorithm
machine-learning-algorithms
artificial-intelligence
genetic-programming
evolutionary-algorithms
artificial-neural-networks
machinelearning
deeplearning
evolutionary-algorithm
evolutionary-computation
-
Updated
Jun 1, 2024 - Python
Paint with emojis.
-
Updated
Jun 1, 2024 - Python
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
deep-neural-networks
latex
university
deep-learning
submodules
thesis
websockets
university-project
python3
eeg
motor-imagery-classification
motor-imagery
eeg-classification
thesis-project
dataset-augmentation
motor-imagery-eeg
-
Updated
Jun 1, 2024 - Python
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
python
machine-learning
deep-neural-networks
deep-learning
tensorflow
numpy
scikit-learn
machine-learning-algorithms
jupyter-notebook
pandas
supervised-learning
matplotlib
unsupervised-learning
-
Updated
Jun 1, 2024 - Jupyter Notebook
A Model build to detect the emotion of the image provided by the use of computer vision, Deep Neural Network and ML.
html
machine-learning
deep-neural-networks
computer-vision
artificial-intelligence
computer-vision-opencv
-
Updated
Jun 1, 2024 - Jupyter Notebook
Implement Deep Q Learning to train agent for Lunar Landing
-
Updated
Jun 1, 2024 - Jupyter Notebook
Implement A3C to Train KungFu Master
-
Updated
Jun 1, 2024 - Jupyter Notebook
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
machine-learning
awesome
deep-neural-networks
deep-learning
neural-network
neural-networks
awesome-list
machinelearning
deeplearning
deep-learning-tutorial
liost
-
Updated
Jun 1, 2024
This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.
machine-learning
natural-language-processing
deep-neural-networks
deep-learning
text-generation
movie-reviews
gpt-2
large-language-models
-
Updated
Jun 1, 2024 - Jupyter Notebook
This is a web application that is used to restore the early days photos and filterized them based on our requirements.
-
Updated
Jun 1, 2024 - Python
To memorize the journey start from self-driving Car Engineer Nanodegree Program to Artificial Intelligence Nanodegree Program to Flying Car Nanodegree Program then Robotics Software Engineer Nanodegree Program and AI for Trading Nanodegree program
natural-language-processing
deep-neural-networks
reinforcement-learning
computer-vision
robotics
recurrent-neural-networks
artificial-intelligence
self-driving-car
flying-car
ai-for-trading
60daysofudacity
udacity-facebook-scholar
-
Updated
Jun 1, 2024
A flexible, high-performance serving system for machine learning models
-
Updated
Jun 1, 2024 - C++
- Followers
- 267 followers
- Wikipedia
- Wikipedia