abhishekdiphu Goto Github PK

abhishekdiphu

my personal website

advance_machine_learning_google_cloud

Coursera specializations: Advance Machine learning with GCP

adversarial-pose-estimation

A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)

ai_for_medicine_specialization_coursera

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

automatic-keypoint-localization-in-2dmedical-images

Using Yu Chen et.al AdversarialPoseNet for landmark localization in 2D medical images (lower extremities)

boostingmonoculardepth

code-snippets

Small Google Cloud Platform examples and code snippets.

cognitiveclass.ai-data-analysis-with-python

These are the notebooks from cognitive class's Data Analysis with Python. Take the free course at :https://cognitiveclass.ai/courses/data-analysis-python/

cognitiveclassmachinelearning

colorguessinggame

#javascript#HTML#CSS

convolutional-pose-machines-pytorch

Pytroch version of Convolutional Pose Machines

course-v3

The 3rd edition of course.fast.ai

cyclegan

Tensorflow implementation of CycleGANs

datacamp_machine_learning_projects

Machine leaning projects

deeplearning.ai-gan-specialization-generative-adversarial-networks

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

deeplearning.ai_deep_learning_specialization

Coursera - deeplearning.ai specialization

deeplearning_projects_udacity

Deep learning Programming exercises.All of these exercises belongs to Udacity . I am just using them for learning purpose

deeppose_tf

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

dl_pytorch

Code for the Deep Learning with PyTorch lesson

dlaicourse

Notebooks for learning deep learning

facerecognition

#It recognize faces on a image#limited to single face in an image #javascript#React#Express#HTML#CSS#Postgresql

facerecognition-backhand

#It recognize faces on a image#nodejs#expressjs#sql#knex.js#Bcrypt

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

goodmorning

ibm_ai_enterprise_workflow

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.

improved-gan

Code for the paper "Improved Techniques for Training GANs"

intelai-deeplearning-foundation

js-cart-setup