Pinned Repositories
AI-Basketball-Referee
AI Basketball Referee
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
automatic-number-plate-recognition
Automatic Number Plate Recognition with YOLOv5 and PyTorch
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
customizable-gpt-chatbot
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.
cvat-clone
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.
detectron2onnx-inference
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.
FastAnnotationTool
A tool using OpenCV to annotate images for image classification, optical character reading, ...
pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
MandarUkrulkar's Repositories
MandarUkrulkar/AI-Basketball-Referee
AI Basketball Referee
MandarUkrulkar/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
MandarUkrulkar/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
MandarUkrulkar/customizable-gpt-chatbot
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.
MandarUkrulkar/cvat-clone
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.
MandarUkrulkar/gpu-jupyter
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.
MandarUkrulkar/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
MandarUkrulkar/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
MandarUkrulkar/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
MandarUkrulkar/llama.cpp
LLM inference in C/C++
MandarUkrulkar/Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
MandarUkrulkar/machine-learning
MandarUkrulkar/MandarUkrulkar
Config files for my GitHub profile.
MandarUkrulkar/MiniGemini
Official implementation for Mini-Gemini
MandarUkrulkar/nerf-factory
An awesome PyTorch NeRF library
MandarUkrulkar/NLP-Natural-Language-Processing-
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 .
MandarUkrulkar/openai-cookbook
Examples and guides for using the OpenAI API
MandarUkrulkar/opencv-course
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
MandarUkrulkar/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
MandarUkrulkar/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
MandarUkrulkar/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
MandarUkrulkar/rag-gpt
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.
MandarUkrulkar/SENT-ANALY
MandarUkrulkar/SFA3D
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
MandarUkrulkar/stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
MandarUkrulkar/T-Rex
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
MandarUkrulkar/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
MandarUkrulkar/threestudio
A unified framework for 3D content generation.
MandarUkrulkar/train-object-detector-detectron2
MandarUkrulkar/WBC_Classification