matbilml Goto Github PK

keras-deep-learning-tutorials

keras-genomics

Perform hyper-parameter tuning, training, testing and prediction with Keras

keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

keras_realtime_multi-person_pose_estimation

Keras version of Realtime Multi-Person Pose Estimation project

kinect-finger-tracking

The most accurate way to track fingers using Kinect v2.

kinectrnnrecognition

Script to detect and recognize some ASL (American Sign Language) sign with Microsoft Kinect using a RNN (Recurrent Neural Network)

label-studio

Label Studio is a multi-domain data labeling tool with standardized output format

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learnopencv

Learn OpenCV : C++ and Python Examples

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

ml-berlin-tutorial

IPython notebooks and data for scikit-learn tutorial at the ML Berlin Meetup.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mldl

Machine Learning and Deep Learning Resources

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

multimedia_actionprediction_project3

Generative Adversarial Network have an extensive use in generating images, faces etc. The same network has an application in predicting next frame. Here we show the next action prediction using GANs

nlp-ornek

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opencv4nodejs

Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram

optimus

:rocket: Optimus is the missing framework for cleansing (cleaning and much more), pre-processing and exploratory data analysis in a distributed fashion with Apache Spark.

papers

Summaries of machine learning papers

papers-literature-ml-dl-rl-ai

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

pigeonxt

🐦 Quickly annotate data from the comfort of your Jupyter notebook

practicalai

📚A practical approach to learning machine learning.

prnet

The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.