artifical-neural-network

Here are 80 public repositories matching this topic...

YanaiEliyahu / AdasOptimizer

ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance

machine-learning deep-learning optimizer mnist adam adam-optimizer artifical-neural-network

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C++

reservoirpy / awesome-reservoir-computing

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Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).

awesome esn rnn awesome-list echo-state-networks reservoir-computing artifical-neural-network reccurent-neural-network

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LCSB-BioCore / GigaSOM.jl

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Huge-scale, high-performance flow cytometry clustering in Julia

clustering som artificial-intelligence neural-networks immunology self-organizing-map large-scale cytof flow-cytometry mass-cytometry cytometry clustering-methods artifical-neural-network huge-scale

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Julia

KChen-lab / Cyclum

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Identify circular trajectories in scRNA-seq data using an autoencoder with sinusoidal activations

single-cell-rna-seq artifical-neural-network trajectory-inference-methods latent-process-inference

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Python

👁 BusinessCase_Data_Exploration-

28101991SUNNY / BusinessCase_Data_Exploration-

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Case Studies and Projects in Machine Learning/EDA/DL

python bigquery data-science machine-learning sql random-forest pandas recommender-system convolutional-neural-networks hypothesis-testing chi-square-test logisitic-regression artifical-neural-network confidence-interval time-series-forecasting inferencial-statistics sarimax-model

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Jupyter Notebook

yaricom / goESHyperNEAT

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The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

golang reinforcement-learning neat neuroevolution unsupervised-learning-algorithms hyperneat unsupervised-machine-learning artifical-neural-network explainable-artificial-intelligence modular-ai

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Go

cate-art / ANN-Option-Pricing-

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Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network

python finance machine-learning pricing derivatives black-scholes artifical-neural-network r-studio garch-model delta-hedging

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Python

👁 Innervator

Thraetaona / Innervator

Sponsor

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Innervator: Hardware Acceleration for Neural Networks

open-source machine-learning fpga paper vhdl standalone dnn artificial-intelligence neural-networks neuron vlsi hardware-acceleration xilinx-fpga artifical-neural-network freestanding arty-a7 vhdl-2008 ieee-1076 hardware-compiler

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VHDL

sachin-bisht / Digit-Recognition

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Recognize handwritten digits using back-propagation algorithm on MNIST data-set

progress-bar python3 mnist-dataset digit-recognition artifical-neural-network numpy-library python-mnist-library

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Python

bostdiek / PublicWeaklySupervised

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(Machine) Learning to Do More with Less

paper jupyter-notebook bsm ipynb weakly-supervised-learning artifical-neural-network

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Jupyter Notebook

mirzayasirabdullahbaig07 / Advanced-Deep-Learning

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Hands-on implementations of advanced deep learning architectures and techniques. Focused on real-world applications, optimization, and research-level concepts.

deep-neural-networks neural-networks deeplearning artifical-neural-network deeplearning-ai deeplearning-algorithms

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Python

BuildMindX / White-Blood-Cell-Classification

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White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image preprocessing, data augmentation, and a robust architecture, it achieves up to 95% test accuracy.

artificial-intelligence convolutional-neural-networks biomedical-image-processing artifical-neural-network tensorflow-keras cnn-image-classification deep-learning-project deep-learning-healthcare white-blood-cell-classification microscopic-image-classification kaggle-dataset-project

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Jupyter Notebook

bararchy / ruby-ann-webattack-filtering

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A project to filter SQL Injection and XSS attacks using ANN -- in Ruby

ruby machine-learning xss cybersecurity sqli ann xss-attacks artifical-neural-network filter-sql-injection

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Ruby

shakibaam / ANN-Project

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Fruit Classifier with ANN

image-classification artifical-neural-network classifier-training

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Python

zmlabe / InternalSignal

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ANN detecting signal from internal variability

machine-learning deep-learning artificial-intelligence climate-change climate-variability artifical-neural-network climate-models internal-variability

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Python

EdinCitaku / ANN-notebooks

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machine-learning neural-network ipython-notebook convolutional-neural-networks hopfield-network artifical-neural-network

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Jupyter Notebook

abhinandan2540 / ANN

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building artificial neuron networks from scratch

machine-learning neural-network artificial-intelligence artifical-neural-network

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Jupyter Notebook

AshNumpy / Iris-Data-Analysis-with-Keras

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Performed data analysis with tensorflow and keras.

python tensorflow numpy keras pandas artifical-neural-network

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Jupyter Notebook

Belhoussine / NeuralNet

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A Machine Learning library for Neural Networks fully written in python. It supports multiple layers of neurons and offers a variety of activation functions, optimization algorithms, and utility functions.

python machine-learning library neural-network artifical-neural-network

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Python

iamdhrutipatel / BreasTest

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Breast cancer prediction🎗️using logistic regression, random forest and artificial neural network

data-science machine-learning random-forest logistic-regression breast-cancer-prediction artifical-neural-network breast-cancer-diagnosis

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Jupyter Notebook

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