oludash01 Goto Github PK
Type: User
Type: User
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of deep learning resources for computer vision
Deep Learning and deep reinforcement learning research papers and some codes
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
https://www.kaggle.com/c/carvana-image-masking-challenge
Course Files for Complete Python 3 Bootcamp Course on Udemy
To improve the performance of content based image retrieval by using tree like structures to describe high level image features in addition to the usage of color and texture features. Implemented using Python and OpenCV. Color histograms, multilevel 2D Discrete Wavelet Transform decomposition of image regions and safe color cube based segmentation are used to extract features. Chi-squared distance and Minkowski distance are used to rank database images with respect to query image.
Public facing notes page
Custom Object Detection with TensorFlow
A sample code of data augmentation methods for wearable sensor data (time-series data)
code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Introduction to Deep Neural Networks with Keras and Tensorflow
Jupyter notebooks for using & learning Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with TensorFlow – Second Edition, published by Packt
Simple Online Realtime Tracking with a Deep Association Metric
Source code of DeepTracking research project
DenseNet Implementation in Keras with ImageNet Pretrained Models
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Deep Learning Toolkit for Medical Image Analysis
code for "Deeply supervised salient object detection with short connections" published in CVPR 2017
Ensemble of Exemplar-SVMs for Object Detection and Beyond
Visualizations for machine learning datasets
Faster R-CNN
Style transfer, deep learning, feature transform
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.