neural-networks-and-deep-learning

Here are 32 public repositories matching this topic...

emirhanai / Age-and-Sex-Prediction-from-Image---Convolutional-Neural-Network-with-Artificial-Intelligence

Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence

machine-learning deep-neural-networks ai deep-learning neural-network tensorflow model keras prediction artificial-intelligence neural-networks artificial-neural-networks matplotlib convolutional-neural-networks artificial-intelligence-algorithms neural-networks-and-deep-learning

Updated Mar 29, 2022
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BrizziB / Graph-Classification-with-GCN

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A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.

tensorflow graphs representation-learning machinelearning-python neural-networks-and-deep-learning

Updated Apr 13, 2019
Python

LambdaSection / NeuralDBG

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A causal inference engine for deep learning training that provides structured explanations of neural network training failures. Understand why your model failed during training through semantic analysis and abductive reasoning, not raw tensor inspection.

visualization data-science machine-learning automation visual-programming-language tensorflow dsl data-visualization pytorch neural-networks hyperparameter-optimization diagrams lark neural-architecture-search onnx nocode neural-networks-and-deep-learning neural-networks-from-scratch llms

Updated Apr 28, 2026
Python

josephjaspers / blackcat_tensors

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Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

machine-learning gpu linear-algebra openmp cuda neural-networks blas neuralnetworks gpu-support bct neural-networks-and-deep-learning neural-networks-from-scratch neuralnetwork-construction blackcat-tensors

Updated Nov 8, 2020
C++

nadir199 / PyGesture-Side-project-Pytorch-Scholarship-Challenge

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This is a python app associated with a flask web app for associating gestures to certain actions on your PC

python pytorch assistant neural-networks gesture-recognition neural-networks-and-deep-learning

Updated Jan 5, 2019
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PhoniExZoe / PGNN

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Solving Inverse Dynamics of 3-UPU Parallel Kinematic Mechanism with Physics-Guided Neural Network

machine-learning neural-network inverse-dynamics-analysis neural-networks-and-deep-learning inverse-dynamics physics-guided parallel-kinematic-manipulator

Updated Jul 7, 2023
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muqadasejaz / Classifying-Newswires

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This project classifies Reuters newswires into 46 topics using a neural network built with Keras. It includes data preprocessing, model training, evaluation with confusion matrix, and predictions on new data.

python deep-neural-networks deep-learning tensorflow numpy keras neural-networks neural-networks-and-deep-learning classifying-newswires

Updated Sep 30, 2025
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lordtt13 / fabric-defect-detection

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Classifier for detection of defects in clothes

classification cnn-keras neural-networks-and-deep-learning data-generators

Updated Mar 25, 2023
Python

fkdosilovic / nndl-errata

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Unofficial errata for the book "Neural Networks and Deep Learning: A Textbook."

deep-learning neural-networks errata neural-networks-and-deep-learning

Updated Sep 1, 2020

bjornbredesen / gnocis

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Gnocis is a system for the interactive and reproductible analysis and modelling of cis-regulatory DNA sequences in Python 3

python machine-learning library bioinformatics analysis cython prediction neural-networks-and-deep-learning regulatory-elements cres

Updated Sep 16, 2022
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bhattbhavesh91 / why-is-relu-non-linear

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A small walk-through to show why ReLU is non linear!

deep-learning neural-networks relu relu-layer activation-functions neural-networks-and-deep-learning activation-function relu-derivative

Updated May 28, 2021
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rileynwong / pytorch-seq2seq-joke2punchline

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PyTorch seq2seq implementation. Includes pretrained models for jokes<>punchlines and english<>french.

python machine-learning translation neural-network pytorch jokes neural-networks seq2seq neural-machine-translation neural-nets neural-networks-and-deep-learning neural-networks-from-scratch punchlines

Updated Apr 16, 2019
Python

jimit105 / Deep-Learning-Specialization

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natural-language-processing deep-learning coursera convolutional-neural-networks sequence-models coursera-deep-learning neural-networks-and-deep-learning

Updated Jun 17, 2020
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hashim21223445 / openllmetry

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Open-source observability for your LLM application, based on OpenTelemetry

Updated Nov 20, 2025
Python

amadou-6e / pymimic3

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Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

machine-learning neural-networks data-preprocessing mimic-iii parallel-processing concept-drift machine-learning-models medical-data machine-learning-projects medical-dataset neural-networks-and-deep-learning clinical-informatics medical-datasets healthcare-ai data-preprocessing-pipelines medical-data-analysis concept-drift-detection data-preprocessing-and-augmentation

Updated Oct 30, 2024
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Ycmmn / Deblur-test

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Deblurring blurred images using GAN architecture and OpenCV preprocessing techniques

opencv computer-vision deep-learning image-processing pytorch gan neural-networks super-resolution image-restoration image-deblurring neural-networks-and-deep-learning super-resolution-cnn

Updated Aug 2, 2025
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Mohammad-Aman-Ullah-Khan / Applied-Machine-Learning-BUET-2025

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Course materials, lecture notes, and assignments for the Applied Machine Learning course. Covers classical ML to deep learning and modern architectures (CNNs, RNNs, Transformers, LLMs).

machine-learning-algorithms regression-models rnn-model cnn-classification neural-networks-and-deep-learning transformers-models