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demo2

deoldify

A Deep Learning based project for colorizing and restoring old images

docker_demo_71

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

face-attribute-recognition-python-opencv

In this repository you can find the face attributes such as age, gender, eyes open or closed, smiling or not and wearing glasses or not.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

gans-awesome-applications

Curated list of awesome GAN applications and demo

gensim

Topic Modelling for Humans

github_demo

go

The Open Source Data Science Masters

image_tagging_yolov3

In this repository we used the yolov3 model which is used in predicting nearly 80 different objects from given input images with in less time.

infersent

Sentence embeddings (InferSent) and training code for NLI.

inltk

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

keras

Deep Learning for humans

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-and-data-mining-algorithms

Machine Learning and Data Mining Algorithms implemented using Python

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-for-beginners

Start writing machine learning code in just 10 hours

machinelearning1

Some of the Machine Learning projects

medical-image-classification-using-deep-learning

Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.

mlcourse.ai

Open Machine Learning Course

mmdetection_object_detection_demo

How to train an object detection model with mmdetection

multi-class-classification-machine-learning-problem-

Established supervised machine learning multi-classification algorithm to solve Iris Flower dataset problem using Python. Libraries used: scipy, numpy, matplotib, pandas, sklearn

my_projects

My List of Projects

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

practicalai

📚 A practical approach to learning and using machine learning.

python-100-days

Python - 100天从新手到大师

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

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