mandarukrulkar's Projects
AI Basketball Referee
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Automatic Number Plate Recognition with YOLOv5 and PyTorch
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
A dynamic, scalable AI chatbot built with Django REST framework, supporting custom training from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Export [detectron2](https://github.com/facebookresearch/detectron2) model to [onnx](https://github.com/onnx/onnx) and run inference using [caffe2 onnx backend](https://pytorch.org/tutorials/advanced/super_resolution_with_caffe2.html). This let's you run inference on a raspberry pi with acceptable inference times.
A tool using OpenCV to annotate images for image classification, optical character reading, ...
Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
CNN Architectures : VGG, Resnet, InceptionNet, XceptionNet
Instant neural graphics primitives: lightning fast NeRF and more
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Config files for my GitHub profile.
Official implementation for Mini-Gemini
An awesome PyTorch NeRF library
This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .
Examples and guides for using the OpenAI API
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
๐ Jupyter notebook tutorials for OpenVINOโข
PyTorch implementations of Generative Adversarial Networks.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
RASA chatbot use case boilerplate