Explore Projects
Discover 173 open source projects
Showing 121-140 of 173 projects
vlawhern/arl-eegmodels
A collection of Convolutional Neural Network (CNN) models for EEG signal classification using Keras and Tensorflow
xuannianz/EfficientDet
A scalable and efficient object detection library implemented in Keras and TensorFlow for vibe coders.
advboxes/AdvBox
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
MiteshPuthran/Speech-Emotion-Analyzer
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
raghakot/keras-resnet
A Keras-based implementation of the ResNet deep learning architecture for computer vision tasks.
L1aoXingyu/Deep-Learning-Project-Template
This is a best practice deep learning project template architecture for vibe coders.
bojone/vae
A simple implementation of VAE (Variational Autoencoder) and CVAE (Conditional Variational Autoencoder) using Keras for AI/ML developers.
bonlime/keras-deeplab-v3-plus
A Keras implementation of the DeepLab v3+ model with pretrained weights for semantic segmentation tasks.
margaretmz/awesome-tensorflow-lite
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources for mobile and edge AI.
balavenkatesh3322/CV-pretrained-model
A collection of pre-trained computer vision models for developers building AI-powered applications.
marl/crepe
Pre-trained model for pitch estimation from audio, useful for music information retrieval tasks.
ahmetozlu/tensorflow_object_counting_api
An open-source framework for object counting systems using TensorFlow and Keras.
CSTR-Edinburgh/merlin
This open-source Python library is a toolkit for building speech synthesis and voice conversion systems using deep learning.
stared/livelossplot
A Python library that provides a live plot of training loss for Keras and PyTorch models in Jupyter Notebooks.
keon/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Python using the Keras library for reinforcement learning.
Renovamen/Speech-Emotion-Recognition
A speech emotion recognition library implemented in Keras with support for CNN, LSTM, SVM, and MLP models.
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
keras-team/keras-core
A multi-backend Keras API implementation with support for TensorFlow, JAX, and PyTorch.
qubvel/classification_models
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
Hyperparticle/one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.
Stay in the loop
Get weekly updates on trending AI coding tools and projects.