my implementations of machine learning papers for learning and practice

Paper-to-code replication workspace with Jupyter notebooks and Python implementations of ML and deep learning research ideas.

Paper Replications

Image-processing pipeline converting architectural drawings into binary line representations

Replicating 'Reinforcement Learning from Language Feedback' (Klissarov et al., 2026) — Gemma 3 12B, GRPO, multi-turn teacher-student training on Omni-MATH

This repository contains my PyTorch practice notebooks

Unofficial, From-scratch PyTorch replication of the Conformer paper (Gulati et al., 2020) — encoder, RNN-T decoder, training loop, and NeMo weight validation. Built block by block with documented maths.

Jupyter notebook workspace for replicating ML paper ideas and experiments.

Replication of "Neural Collaborative Filtering" (He et al., WWW 2017) in PyTorch — GMF, MLP & NeuMF on MovieLens 1M + Pinterest

Learning Pytorch from learnpytorch.io, implementing on datasets.

U-Net from scratch — replicating Ronneberger et al. (2015) on DRIVE retinal vessel segmentation

Replication of R-DCNN (Li et al., Eye 2023) for joint optic disc and cup segmentation