Hrushi11's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
fastai/fastbook
The fastai book, published as Jupyter Notebooks
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
Skyvern-AI/skyvern
Automate browser-based workflows with LLMs and Computer Vision
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
apple/ml-ferret
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
mljar/mercury
Convert Jupyter Notebooks to Web Apps
easy-tensorflow/easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
microsoft/NUWA
A unified 3D Transformer Pipeline for visual synthesis
jupyter-naas/awesome-notebooks
Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
google-deepmind/educational
iterative/mlem
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
msaroufim/ml-design-patterns
Software Architecture for ML engineers
milaan9/Python_Computer_Vision_from_Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
alan-turing-institute/rse-course
Materials for The Alan Turing Institute's Research Software Engineering course
xbresson/CE9010_2018
Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
tomwalczak/food-vision-mobile-tensorflowjs
Food Vision project for mobile devices using TensorFlowJS
paperd/deep-learning-models
mohdsaqibhbi/easy_images
Download hundreds of images from Google. Do image post processing later.
Hrushi11/DYPIEMR_AIDS_PROJ
This repo is only for students at DYPIEMR, Pune. In Artificial Intelligence and Data Science branch.