Navin Kumar M's repositories
Anomaly-Crime-Activity-Detection
Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.
AI-Malware-System
Fast API Endpoint!. This project examines, analyses the malware statically & dynamically using conventional strategies and also apply machine learning algorithms lke lightgbm, svm and deep learning algorithms like CoAtNet, LSTM. FrontEnd App is Antivirus built on Tauri
Face-Recognition-From-Crowd
Face Recognition from Crowd by using yolov7 .Extracting the faces from a video/image/live source, which is then passed to the custom facenet network in order to recognize the peoples
Benetech-Chart-Derendering
Benetech Kaggle Competition Work. Fine Tuning Matcha (Multi Modal Transformer) on Line, Scatter, Dot, Horizontal and Vertical bar dataset.
Malware-Detection
Malware Analysis using Deep Learning & Machine Learning deployed on AWS cloud. ML & DL algorithms was written in Python, Server Part written in node.js
AI-Learning-Platform
AI-Learning-Platform, a LLM-RAG pipeline which behaves like a guide and able to solve doubts. Deployed on-premise IBM ppc64le architecture. vLLM for model inference & Qdrant with Langchain for RAG Pipeline. Server written in django, postgres & cassandra as the sql & nosql databases.
My-Works-2023
My Skills : • Frameworks: PyTorch, Tensorflow, AWS, MLFlow, Ray, Tauri, RAPIDS • Languages: Python, TypeScript, C++, Rust, Node.js, MongoDB, MySQL, Tailwind CSS
NavinKumarMNK
IamAlwaysMega ✨. AI Engineer. Student at VIT University (Chennai Campus). Working Hard to build My Own AI Company; Interested in Humanity & Security fields of AI. "Open for Startups". Data Science, Deep Learning & MLOps Engineer
Parallel-Distributed-ML-Workspace
Documentation of Setting up Parallel & Distributed ML Workspace in your systems. And to work seamlessly without error. Package to easily setup a environment in the group of systems
AI-Surveillance
Face Recognition on Edge and Cloud GPU. yolov7 to detect & arcface to recognize the faces. Built on deepstream with Azure IOT support
LLM-SFT-DPO-PEFT
Mistral 7b - SFT on Alpaca + PEFT + DPO on HH-RLHF.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
triton
Development repository for the Triton language and compiler
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs