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1. transformers-for-fruit-object-detection-internship transformers-for-fruit-object-detection-internship Public

   This internship project centers on training Vision Transformer models (RT-DETRv2) for fruit object detection using YOLO-format data. The pipeline is fully modular, supports mixed precision and W&B …

   Python 3

2. DIYNeuralNet DIYNeuralNet Public

   A lightweight deep learning framework implemented from scratch using NumPy/CuPy. supports customizable architectures, forward and back propagation, dropout, He/Glorot init, and mini-batch training.…

   Jupyter Notebook 6

3. Reinforcement-Learning-Trees Reinforcement-Learning-Trees Public

   A Python implementation of Reinforcement Learning Trees (Zhu et al., 2015). RLT leverages "look-ahead" reinforcement learning to master high-dimensional, sparse data where standard Random Forests f…

   Jupyter Notebook 7 2

4. Multimodal-Technical-RAG-Agent Multimodal-Technical-RAG-Agent Public

   Multimodal agentic assistant for technical workflows — analyze circuit diagrams, extract components, and chat with context. Built with LangGraph · FastAPI · Next.js.

   TypeScript

5. modern-training-pipeline modern-training-pipeline Public

   This project is a modern, modular, and production-ready deep learning training pipeline built with PyTorch. It’s designed for image classification tasks and supports advanced tools like Hydra for c…

   Python 3

6. face-auth-pipeline face-auth-pipeline Public

   A real-time face verification system built with PyTorch and FastAPI, featuring a custom Hybrid Triplet Loss with margin scheduling, ResNet-50 backbone, MTCNN detection, and W&B integration for trai…

   Python 4