基于 Tensorflow，仿 Scikit-Learn 设计的深度学习自然语言处理框架。支持 40 余种模型类，涵盖语言模型、文本分类、NER、MRC、知识蒸馏等各个领域

Fine-Tuning Google's Vision Transformer LoRA technique. Two different LoRA adapters are tuned for separate classification (food and human actions). A simple Gradio interface is implemented to run the inference.

This repository features an image sharpening pipeline using Knowledge Distillation. A high-capacity Restormer acts as the teacher model, while a lightweight Mini-UNet is trained as the student to mimic its performance.

This repo documents my participation in the Kaggle red-teaming competition focused on probing OpenAI's newly released gpt-oss-20b model for previously undiscovered vulnerabilities and harmful behaviors. The goal is to identify, document, and report up to five distinct issues, contributing to the safety and alignment of open-source AI models.

AI-Farm is a distributed deep learning training framework that enables efficient model training across multiple machines. It provides a scalable infrastructure with real-time monitoring through a web admin panel, adaptive task distribution, and support for both CPU and GPU training.

PyTorch implementation of DDPM (Denoising Diffusion Probabilistic Models) for image generation. Includes U-Net with attention, DDIM sampling, EMA training, and CelebA dataset support.

A full-stack platform for designing reinforcement learning environments, running GPU-backed training, and monitoring agents in real-time.

Production-ready PyTorch framework for distributed deep learning training with Ray & Horovod backends. Optimized for computer vision and time series on Kubernetes clusters.

Whatsapp Assistant using FastAPI, Google Gemini, WhisperAI, Twilio and Ngrok

Fine-Tuning Google's Vision Transformer LoRA technique. Two different LoRA adapters are tuned for Separate Classification (Food and Human actions). A simple Gradio interface is implemented to run the Inference.

Data processing, Machine Learning codes and Training scripts on Jean Zay High Performance Computing (HPC) remote GPUs

EGM is a deep learning tool that learns your image editing style from raw/edited pairs and applies it to new images. It uses a Pix2Pix (conditional GAN) architecture.

Medical X-ray image classifier fine-tuning ResNet-18 with PyTorch.

1D CNN for customer complaint text classification using PyTorch.

Developed an end-to-end LLM pipeline that extracts Python code from GitHub, builds a high-quality dataset, fine-tunes CodeGen, and performs advanced code generation with DeepSeek. Demonstrates strong capabilities in LLM training, data engineering, and model optimization.

Kaggle Competition for MAP Charting Student Math Mistunderstanding