python3

This project is the backend engine for a fully autonomous AI-powered call center. It integrates a large language model (LLM), speech recognition, and text-to-speech to manage real-time phone conversations via Asterisk.

Detecting Fake News using AI

VL-JEPA inspired pipeline — compress images/text locally via Ollama, send compact payloads to any LLM API. Cut token costs by ~80%.

基于YOLOV8的人脸检测模型，从huggingface上面下载，通过gradio进行部署，实现输入图片的URL或者上传图片，模型检测出所有的人脸，并返回位置信息

Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.

Running Stable diffusion from a mobile phone using Termux

A Python package to make Stable Diffusion Image Generation ridiculously easy

QuantLLM is a Python library designed for developers, researchers, and teams who want to fine-tune and deploy large language models (LLMs) efficiently using 4-bit and 8-bit quantization techniques.

A tool for performing semantic search within pdf documents leveraging sentence transformers.

Build a full-stack AI chatbot using Python, React, FastAPI, and GPT-J-6B. Utilize Redis for efficient data storage, enabling real-time conversations and advanced language processing

Finetuned Deepseek 8b model for finance reasoning

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.

The notebooks & projects code for Generative for Backend Dev online bootcamp

A documentation querying engine, useful for scanning the docs in a question-answer like manner

Memory architectures that evolve with your agent

A fine tuned yolov111 model to detect fire

Easy to use command line assistant using OpenAssistant's model API

AI-native NoSQL + vector database with built-in semantic search for RAG, AI agents & LLM memory — the async Python client. Self-hosted Pinecone alternative.

An end-to-end tennis video analysis system leveraging Ultralytics YOLOv8 for player and ball detection, multi-object tracking across frames, and a custom CNN for court keypoint extraction, providing data-driven insights into player movement, ball trajectories, and match dynamics using advanced computer vision and deep learning techniques.