Pinned Repositories
AMD-and-Build-a-PC-Subreddit-Predictor
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Cookbook
The Data Engineering Cookbook
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
fastbook
The fastai book, published as Jupyter Notebooks
inference-client
inference-dashboard-example
Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.
Interactive_ABCs_with_American_Sign_Language_using_Yolov5
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Mapping-Power-Outage-Disasters-through-Social-Media
insigh1's Repositories
insigh1/Interactive_ABCs_with_American_Sign_Language_using_Yolov5
insigh1/AMD-and-Build-a-PC-Subreddit-Predictor
insigh1/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
insigh1/Cookbook
The Data Engineering Cookbook
insigh1/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
insigh1/fastbook
The fastai book, published as Jupyter Notebooks
insigh1/inference-client
insigh1/inference-dashboard-example
Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.
insigh1/labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
insigh1/Mapping-Power-Outage-Disasters-through-Social-Media
insigh1/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
insigh1/python-cheatsheet
Comprehensive Python Cheatsheet
insigh1/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
insigh1/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS