sogunda Goto Github PK

judging-a-book-by-its-cover

OpenCV, Machine Learning

keras

Deep Learning for humans

machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml

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 data mining to deep learning.

mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

models

Models and examples built with TensorFlow

numpy-ml

Machine learning, in numpy

opencv2-python-tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

pedestrian-detection

Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.

pothole_detection

Pothole Detection Using Computer Vision (Masked-RCNN)

privacy

Library for training machine learning models with privacy for training data

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

python

All Algorithms implemented in Python

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-webcam-flask

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sabermetrics

Scraping, munging and analysis of NHL data.

simpletensorflowclassificationexample

SImple notebook and dataset to demonstrate classification in TensorFlow

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

sorting-visualizer

A mobile first sorting algorithms visualizer, coded using Vue.js

sorting-visualizer-1

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

surprise

A Python scikit for building and analyzing recommender systems

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.