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Apr 1, 2026 - Rust
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from-scratch-implementation
Here are 14 public repositories matching this topic...
A from-scratch implementation of a feedforward neural network in C# (.NET 8) without using any machine learning frameworks.
machine-learning dotnet brain turkey deeplearning-demo neural-networks-from-scratch neural-network-design from-scratch-neural-network from-scratch-implementation
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Nov 19, 2025 - C#
A convolutional neural network (CNN) built from scratch using only NumPy to classify handwritten digits from the MNIST dataset.
python machine-learning deep-learning numpy cnn mnist convolutional-neural-networks gradient-descent from-scratch from-scratch-in-python from-scratch-neural-network from-scratch-implementation
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Jul 3, 2025 - Jupyter Notebook
A from-scratch AlphaFold2 in PyTorch designed to make one of the most important and complex ML architectures readable, hackable, and ablatable.
structural-biology computational-biology geometric-deep-learning protein-structure-prediction pytorch-implementation alphafold2 evoformer protein-folding-prediction from-scratch-implementation invariant-point-attention
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Apr 4, 2026 - Python
Educational, from-scratch implementation of a LLaMA-style LLM using PyTorch to explore Transformer architecture fundamentals.
nlp machine-learning natural-language-processing research deep-learning transformers pytorch neural-networks educational llama language-model from-scratch self-attention llm transformer-model model-implementation from-scratch-implementation
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Jul 27, 2025 - Jupyter Notebook
A decoder-only Transformer built from scratch using CuPy only — no PyTorch, no autograd, no magic. Every forward pass, backward pass, and gradient derived and implemented by hand. Includes full training loop, Adam optimizer, LayerNorm, and causal self-attention on GPU.
deep-learning neural-network transformer gpt language-model backpropagation cupy llms from-scratch-implementation no-pytorch
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Mar 30, 2026 - Python
Implementation of KNN and Gaussian Naive-Bayes algorithms to classify phishing URLs. Built from scratch and compared with scikit-learn versions.
machine-learning python-programming data-preprocessing k-nearest-neighbors gaussian-naive-bayes from-scratch-implementation
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Dec 23, 2024 - Jupyter Notebook
This project demonstrates how to build and train a feedforward neural network from scratch using only NumPy, without any high-level deep learning libraries like TensorFlow or PyTorch. The model is trained on the MNIST digit classification dataset and achieves competitive accuracy.
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Apr 30, 2025 - Python
From-scratch implementation of binary Logistic Regression using NumPy, with vectorized cost computation, gradient calculation, and batch gradient descent optimization.
python numpy logistic-regression matplotlib gradient-descent cost-function sigmoid-function from-scratch-implementation
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Mar 16, 2026 - Jupyter Notebook
"Learn Linear Regression: A Python implementation from scratch with dataset generation and visualization" as it's both informative and engaging.
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Dec 7, 2025 - Jupyter Notebook
Manual implementation of backpropagation on a custom computational graph with gradient checking. Benchmarks Vanilla SGD, Momentum, and Adam optimizers from first principles using NumPy.
deep-learning numpy neural-networks gradient-descent backpropagation adam-optimizer sgd-optimizer computational-graph from-scratch-implementation
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Mar 17, 2026 - Jupyter Notebook
Minimal http server written from scratch in C language
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Mar 15, 2026 - C
LSTM implemented from scratch and with PyTorch's nn.LSTM, trained using PyTorch Lightning on a toy stock prediction task. Educational and beginner-friendly.
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Jun 16, 2025 - Jupyter Notebook
Minimal GPT implementation from scratch using PyTorch — trains a character-level transformer on the Tiny Shakespeare dataset to demonstrate core LLM concepts.
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Jun 15, 2025 - Jupyter Notebook
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