kartikmehta09 Goto Github PK

-building-natural-language-applications-with-tensorflow

Building Natural Language Applications with TensorFlow, published by Packt

-convolutional-neural-network

This is a convolutional neural network trained with more than 15,000 dogs and cat images respectively. I have built this network three layers deep, giving an accuracy of 86%.

-learn-artificial-intelligence-with-tensorflow

Code repository for Learn Artificial Intelligence with TensorFlow, published by Packt

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ai-engineering

Controlling AI models distribution and versioning with MLflow and Minio/S3.

alphatree-graphic-deep-neural-network

机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

analysis

antaresviz

ANTARES Visualizations

apache-spark-deep-learning-cookbook

Apache Spark Deep Learning Cookbook, published by Packt

artificial-intelligence-deep-learning-machine-learning-tutorials

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! 😀)

astra-toolbox

ASTRA Tomography Toolbox

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-rl

Reinforcement learning resources curated

awesome-spark

A curated list of awesome Apache Spark packages and resources.

aws-sagemaker-machine-learning-and-ai-with-python

Coding exercises and calculations used during the course AWS SageMaker, Machine Learning and AI with Python by Chandra Lingam from PacktPub

babyagi

bank_costumer_prediction

This is an artificial neural network that is trained with 10'000 people details who were or are the costumers of the respective bank. This ANN is going to take the required details of a costumer and predict if e is going to leave the bank or not. This model is totally made using the Keras library by running tensorflow backend and Numpy for numerical computations.

bbox-label-tool

A simple tool for labeling object bounding boxes in images

benchmarks

A place in which we publish scripts for reproducible benchmarks.

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

boobs

Boobs - YOLO BBox Annotation Tool

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

brainweight

A simple tensorFlow script for visualising the dataset in graph using Pandas.

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

broccoli

BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs

cervicalcanceranalysis

Exploration of the risks of cervical cancer dataset, using supervised & unsupervised machine learning techniques to predict cervical cancer cases resulting in biopsies.

chexpert-challenge

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

click

The "Command Line Interactive Controller for Kubernetes"

cnn_medium.

A simple binary classifier to predict if the given image is a cat or a dog.

cnncancer

lung cancer pathological image analyzer based on convolutional autoencoder