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AayushSameerShah / Neural-Net-Zero-to-Hero-with-Andrej

Star 99

This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.

deep-learning neural-network tokenizer pytorch transformer gpt nlg pytorch-tutorial educational-project andrej-karpathy pytorch-implementation zero-to-mastery neural-network-from-scratch zero-to-hero nanogpt gpt-from-scratch
  • Updated Apr 30, 2024
  • Jupyter Notebook

Frightera / Sample-Machine-Learning-Projects

Star 37

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

natural-language-processing neural-network word2vec generative-adversarial-network autoencoder ensemble-learning transfer-learning nlp-machine-learning bert ensemble-classifier cifar-10 random-forest-classifier wordtovec probabilistic-neural-network resnet50 tensorflow-hub neural-network-from-scratch covid-19 deep-ensemble
  • Updated May 3, 2022
  • Jupyter Notebook

Irlll / neural-network-backpropagation-from-scratch-code-for-detecting-potential-obesity-

Star 6

Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity

neural-network backpropagation neural-network-python neural-network-architectures backpropagation-neural-network neural-network-from-scratch step-by-step-backpropagation math-behind-backpropagation backpropagation-python backpropagation-manual-code backpropagation-excel backpropagation-indonesia
  • Updated Sep 19, 2022
  • Python
Little-NeuralNetwork-Library

C-Coretex / Little-NeuralNetwork-Library

Star 4

My first simple realization of Neural Network library by scratch, so you can use it in your projects (check the documentation in README). You can see an example how to use the library below.

machine-learning library csharp neural-network dll iteration teaching neural-networks image-recognition neurons neuralnetwork neuralnetworks synapses neural-network-framework neural-network-from-scratch neuralnetwork-creation neuron-layers
  • Updated Aug 29, 2020
  • C#

ligerfotis / CSE6363_Machine_Learning

Star 3

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

clustering ensemble-learning decision-trees support-vector-machines knn-classification logistic-regression-algorithm perceptron-learning-algorithm dendrogram poisson-regression logistic-regression-scratch linear-regression-scratch neural-network-from-scratch bagging-ensemble boosting-ensemble gaussian-naive-bayes-classification
  • Updated May 2, 2021
  • Python

Mayurd9 / NN-from-scratch

Star 1

This is the code for a fully connected neural network. The code is written from scratch using Numpy, without using any ready-made deep learning library. In this, classification is done on the MNIST dataset. It is generalized to include various options for activation functions, loss functions, types of regularization, and output activation types.

python machine-learning deep-learning neural-network numpy mnist-classification gradient-descent ann backpropagation neural-networks-from-scratch fully-connected-deep-neural-network fully-connected-neural-network neural-network-from-scratch
  • Updated Jun 14, 2024
  • Jupyter Notebook

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