GitHub

Perceptron from Scratch

A binary classifier built with NumPy to make the perceptron learning rule visible: each mistake changes the weights and bias, moving a linear decision boundary toward a separation of two classes. A ...
GitHub

python_pytorch examples

Example1= Linear Regression using Numpy (run on CPU) and Matplotlib Example2= Linear Regression using Tensors (run on GPU) Example 3= Linear Regression using nn.sequential model using ...
BIOENGINEER

Stacked machine learning model predicts concrete strength with high accuracy

A hybrid stacking ensemble of XGBoost, LightGBM and CatBoost with domain-informed features predicts concrete compressive ...
BIOENGINEER

Fine-Tuned Language Model Discovers Critical Assembly Rules for Commercial Aircraft Manufacturing

Researchers applied an offline fine-tuned language model and association rule mining to extract critical production factor ...
xenospectrum

MIT Shows an LLM Can Read and Edit Another Neural Network's Weights Directly

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...
HackerNoon

AI Can Now Read and Rewrite Neural Network Weights. Here's Why It Matters

Weight-Space Programming is a paradigm shift for AI engineering and the key discovery that leads to RSI and potentially even AGI.
Small Business

6 examples of sole traders

Some of the products promoted are from our affiliate partners from whom we receive compensation. While we aim to feature some of the best products available, we cannot review every product on the ...