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1. ML-PAPERS-IMPLEMENTATION ML-PAPERS-IMPLEMENTATION Public

   solving ml papers and implementing them from scratch

   Python

2. GitCommitGenerator GitCommitGenerator Public

   An offline AI CLI tool that generates clean commit messages from git diffs using a fine-tuned Qwen-0.5B model trained on 100K commits. It runs in under 2 seconds, removes external API dependency, a…

   Python

3. minigrad minigrad Public

   Minigrad is a minimal deep learning library helps to implement neural nets and backpropagation easily

   Jupyter Notebook

4. LumiTrace LumiTrace Public

   Trained a new temporal transformer architecture for low-light video restoration by extending Retinexformer with 3D convs, frame alignment, and temporal fusion, achieving strong PSNR/SSIM and stable…

   Python

5. Taskmaster Taskmaster Public

   A simple distributed task scheduler written in python,gRPC . It's designed to handle a high volume of tasks, distribute them across multiple workers for execution. A small implementation of RabbitMQ

   Python

6. predictive_pulse predictive_pulse Public

   This is the timeseries model which helps to detect the anomalies in the machine

   Python