This is your work, valued
trying stuff :p
kenkyu. Python
16Sharpner. Python
8AlexNet-implementation. Python
7YOLOv1-Paper-Implementation-. Python
6ResNet18-transfer-learning-on-CIFAR-10. Python
4ResNet-implementation. Python
4ocally_assignment. Jupyter Notebook
2Credit-Card-Fraud-Detection. Jupyter Notebook
1Medical-insurance-prediction-model. Python
1Sonar-Rock-vs-Mine-Prediction-Model. Jupyter Notebook
1Portfolio-website. HTML
1sharpeye08. HTML
1Rock-vs-Mine-Prediction-and-Detection-for-Aquatic-Systems-IEEE-paper-implementaiton. Jupyter Notebook
1kakugen-.
1build-your-own-teenygrad-a-tiny-tensor-autograd-engine. Construct a minimal deep learning framework from scratch, layering a lazy numpy-backed buffer, a reverse-mode automatic differentiation engine, a tensor API, and neural network primitives. By the end you train a small MLP on a toy digit dataset, mirroring how real autograd libraries like tinygrad work under the hood.
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