Yasin Dagasan's starred repositories
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
yolo-examples
This Repository demostrates various examples using YOLO
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
yoloexplorer
YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
segmenteverygrain
A SAM-based model for instance segmentation of images of grains
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.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Pothole_Detection
Pothole Detection using Masked-RCNN
DeepForest
Python Package for Airborne RGB machine learning
nbprocess-old
Process and export Jupyter Notebooks fast (Jupyter not required)
deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
AlignAssign
Align the assignment operators within a highlighted area.
review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.