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MiteshPuthran/Speech-Emotion-Analyzer

A neural network model for detecting different emotions from audio speeches using Python and deep learning.

1.4K
Archived
Jupyter Notebook
Speech Recognition
Machine Learning
Jupyter Notebook
#speech-recognition#emotion-detection#neural-network

NifTK/NiftyNet

An open-source platform for medical image analysis and image-guided therapy research using deep learning.

1.4K
Archived
Python
Computer Vision
API Frameworks
Python
#medical-imaging#image-analysis#deep-learning

doonny/PipeCNN

An OpenCL-based FPGA accelerator for convolutional neural networks, ideal for vibe coders working on hardware-accelerated deep learning projects.

1.4K
Archived
C
Computer Vision
FPGA
#deep-learning#fpga-accelerator#opencl

MIC-DKFZ/medicaldetectiontoolkit

A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.

1.3K
Archived
Python
Computer Vision
API Frameworks
PyTorch
#medical-imaging#object-detection#segmentation

NervanaSystems/ngraph

nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.

1.3K
Archived
C++
Inference
ML Ops
Caffe2
#deep-learning#neural-network#compiler

ahmetozlu/tensorflow_object_counting_api

An open-source framework for object counting systems using TensorFlow and Keras.

1.3K
Archived
Python
TensorFlow
#object-counting#tensorflow#open-source

onnx/onnx-tensorflow

A library for using ONNX, an open format for machine learning models, with the TensorFlow deep learning framework.

1.3K
Archived
Python
LLM Frameworks
API Frameworks
TensorFlow
#deep-learning#onnx#tensorflow

fahadshamshad/awesome-transformers-in-medical-imaging

A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.

1.3K
Archived
Computer Vision
Tutorials & Courses
#medical-imaging#transformers#computer-vision

linkedin/detext

A deep neural text understanding framework for ranking and classification tasks in NLP.

1.3K
Archived
Python
LLM Frameworks
API Frameworks
Python
#natural-language-processing#text-embeddings#deep-learning

hollance/Forge

Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.

1.3K
Archived
Swift
ML Ops
iOS
Swift
#deep-learning#neural-network#metal

ARM-software/ML-KWS-for-MCU

A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.

1.2K
Archived
C
ML Ops
Arduino & Embedded
ARM
#arm#microcontrollers#machine-learning

awslabs/sockeye

Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.

1.2K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#machine-translation#sequence-to-sequence#attention-mechanism

AlgoTraders/stock-analysis-engine

An open-source stock trading algorithm backtesting platform for training AI models on financial data.

1.2K
Archived
Jupyter Notebook
ML Ops
API Frameworks
Jupyter Notebook
#algorithmic-trading#backtesting#deep-learning

jaanli/variational-autoencoder

Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.

1.2K
Archived
Python
Deep Learning
Probabilistic Graphical Models
TensorFlow
#variational-autoencoder#autoregressive-networks#unsupervised-learning

abhishekkrthakur/tez

Tez is a lightweight PyTorch training library with utilities for common deep learning tasks.

1.2K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#deep-learning#neural-networks#pytorch

vietnh1009/QuickDraw

Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.

1.1K
Archived
Python
Computer Vision
Backend Frameworks
PyTorch
#computer-vision#image-classification#deep-learning

ethanhe42/channel-pruning

A library for accelerating deep neural networks through channel pruning, a model compression technique.

1.1K
Archived
Python
Computer Vision
Build Tools
Python
#acceleration#channel-pruning#deep-neural-networks

DSE-MSU/DeepRobust

A PyTorch library for attacking and defending deep learning models against adversarial examples.

1.1K
Experimental
Python
Deep Learning
Testing
PyTorch
#adversarial-attacks#adversarial-examples#deep-learning

kennethleungty/Neural-Network-Architecture-Diagrams

A repository containing diagrams for visualizing neural network architectures, useful for AI/ML developers.

1.1K
Experimental
Visualization
#architecture#neural-networks#deep-learning

GANs-in-Action/gans-in-action

A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.

1.0K
Experimental
Jupyter Notebook
GANs
#ai#artificial-intelligence#deep-learning

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