simple neural network library in ANSI C
c neural-network genetic-algorithm ansi tiny neural-networks artificial-neural-networks neurons ann backpropagation hidden-layers neural
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Jun 26, 2024 - C
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backpropagation
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Deep learning in Rust, with shape checked tensors and neural networks
rust machine-learning deep-neural-networks deep-learning neural-network gpu cuda autograd rust-lang gpu-acceleration cuda-kernels tensor gpu-computing backpropagation cudnn cuda-toolkit cuda-support autodiff autodifferentiation
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Jul 23, 2024 - Rust
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
matrix probability particle-filter graph-theory numerical-optimization backpropagation kalman-filter
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Sep 12, 2020 - MATLAB
Artificial Neural Network
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Jul 11, 2024 - Go
Notes for Deep Learning Specialization Courses led by Andrew Ng.
data-science machine-learning statistics deep-learning neural-network algorithms notes tensorflow coursera cnn hyperparameter-optimization data-analysis summary deeplearning backpropagation andrew-ng bias-variance sequence-models overfitting
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Aug 14, 2022
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
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Dec 24, 2018 - Jupyter Notebook
Six snippets of code that made deep learning what it is today.
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Oct 10, 2019 - Jupyter Notebook
Implementing multilayer neural networks through backpropagation using Java.
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Mar 13, 2017 - Java
A collection of all projects pertaining to different layers in the SDC software stack
opencv deep-neural-networks computer-vision deep-learning tensorflow scikit-learn keras scikit-image python3 classification self-driving-car deep-learning-library behavioral-cloning backpropagation computational-graphs lane-lines-detection vehicle-detection-and-tracking lane-tracking
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Apr 15, 2018 - Jupyter Notebook
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
python machine-learning clustering linear-regression regression neural-networks supervised-learning pca classification dimensionality-reduction logistic-regression recommender-system gradient-descent support-vector-machines backpropagation anomaly-detection unsupervised-machine-learning
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Sep 16, 2021 - Jupyter Notebook
Heterogeneous automatic differentiation ("backpropagation") in Haskell
deep-learning neural-network graph automatic-differentiation gradient-descent backpropagation backprop
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Jun 5, 2025 - Haskell
Build neural networks based only on Numpy
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Feb 14, 2023 - Python
A simple machine learning framework written in Swift 🤖
swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression
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Aug 28, 2018 - Swift
Data science teaching materials
python git bash statistics numpy test-driven-development backpropagation teaching-materials neural-networks-from-scratch
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Feb 23, 2025 - Jupyter Notebook
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
machine-learning deep-learning tensorflow automatic-differentiation pricing derivatives quantitative-finance notebooks regression-models backpropagation risk-management computational-finance aad risk-magazine
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Oct 5, 2022 - Jupyter Notebook
Deep Learning From Scratch
machine-learning tutorial deep-learning linear-regression mnist learning-algorithm logistic-regression perceptron backpropagation
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Jun 20, 2023 - Jupyter Notebook
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
deep-neural-networks ai deep-learning neural-network tensorflow keras jupyter-notebook rnn matplotlib gradient-descent backpropagation-learning-algorithm music-generation backpropagation keras-neural-networks poetry-generator numpy-tutorial lstm-neural-networks cnn-for-visual-recognition deeplearning-ai cnn-classification
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Sep 8, 2018 - Jupyter Notebook
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
rust neural-network webassembly wasm data-visualization simd neural-networks gradient-descent backpropagation wasm-bindgen neural-networks-from-scratch
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Oct 6, 2024 - Rust
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
machine-learning deep-learning neural-network math guide artificial-neural-network backpropagation forward-propagation
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May 21, 2020 - TeX
A tiny neural network 🧠
machine-learning haskell neural-network haskell-library neural-networks backpropagation backpropagation-algorithm
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May 26, 2018 - Haskell
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