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Name: Deepesh Singh
Type: User
Bio: Deep Learning, PyTorch, ComputerVision
Name: Deepesh Singh
Type: User
Bio: Deep Learning, PyTorch, ComputerVision
using autoencoders for dimensionality reduction and generating image with original dimensions
custom training based model to predict breast cancer of a patient
A simple binary classification model built with TensorFlow.js
Browser based CNN model to classify number digits from 0 -9 using mint dataset, you can also test the model after training by drawing digits yourself
Browser based CNN model to classify 10 different type of fashion accessories, and it can also be tested by drawing the image.
Master programming by recreating your favorite technologies from scratch.
Generating handwritten digits using Conditional GAN-
Convolutional neural network to solve multi-class problem on cifar10 dataset
comparison between pertained advanced CNN models VGG16 and VGG19
Like in Conditional GAN we generated images based on classes, similarly in this Controllable GAN we can change specific features if a generated data by a new loss function calculated using a new feature classifier
Creating custom distributed training using TPU strategy in google collar to train model by distributing load to all available accelerators .
Generating handwritten digits using Deep Convolution GANs for better results than GAN(basic model) with Pytorch
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series
distributed training with one device strategy
Creating distributed training using mirrored strategy with TensorFlow
Simple code for deep neural network based face recognition
E-commerce by Django Rest Framework
Detect face on your webcam.
Snapchat -like replace face in the video by a face mask
Classification of fashion accessories by building custom training model using tensor flow - GradientTape,metrics,etc.
Evaluating GAN model using FID (Frechet Inception Distance) on extracted features of Inception v3 classifier. Using Multivariate Normal Distributions to calculate distance between embeddings of real and fake iamges
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.