Matt Dinh's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
ChatGPT
Reverse engineered ChatGPT API
Data-science
Collection of useful data science topics along with code and articles
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
motion-canvas-test
Visualize Complex Ideas Programmatically
netron
Visualizer for neural network, deep learning, and machine learning models
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
srs
SRS is a simple, high efficiency and realtime video server, supports RTMP, WebRTC, HLS, HTTP-FLV and SRT.
supervision
A set of easy-to-use utils that will come in handy in any Computer Vision project
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
TensorRT-For-YOLO-Series
tensorrt for yolo series, nms plugin support
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
vidgear
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors