parmarjh

ultimate-hackathon-starting-guide

all the tools and guidance needed to get up and running at a hackathon!

Robot-Niko

Robot niko with raspberry pi and python

AICommand

ChatGPT integration with Unity Editor

Context-Based-LLMChatbot

Use vector search or embedding technique to feed addtional knowledge base to LLM like GPT-3, BLOOMZ

supervision

We write your reusable computer vision tools. 💜

ChatGPT_Whatsapp_Bot

Building a WhatsApp Chatbot with Python, Twilio, and EC2: Introducing ChatGPT WhatsApp Bot.

vid2avatar

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)

roomGPT

Upload a photo of your room to generate your dream room with AI.

easy-yolov7

This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.

Network_Stream

graphnet

A Deep learning library for neutrino telescopes

Pendulo-Gravitico-Streamlit-Python

EfolioB de Física Geral - Grafíco de Pêndulo Gravítico em Streamlit Python

OnePose_Plus_Plus

Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022

coursera

coursera courses

torchyolo

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

non-max-suppression-in-pytorch

How to implement Non Max Suppression (NMS) in PyTorch

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

streamlit

Streamlit — A faster way to build and share data apps.

Animal_Classification_System

Satellite_Image_Classification_Model

Computer Vision and Deep Learning

plant_diseases_classification_model

Computer Vision and Deep Learning

stable-diffusion-webui

Stable Diffusion web UI

ai-innovation-bridge

oneAPI-samples

Samples for Intel® oneAPI Toolkits

Machine-Learning-Engineering-on-AWS

Machine Learning Engineering on AWS, published by Packt

weather_prediction_dataset

Create a dataset for teaching machine learning and deep learning

IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

YOLO-RX57-FPS-Comparision

FPS Comparision with same specification of YOLOX, YOLOR, YOLOv5 and YOLOv7

yolov5-object-tracking

YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit