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Type: User
Bio: Software Engineer for 3+ years exploring cutting-edge deep learning models. Interested in Deep RL, GANs, Computer Vision, NLP, Kubernetes, & Distributed Systems
Location: San Francisco
Type: User
Bio: Software Engineer for 3+ years exploring cutting-edge deep learning models. Interested in Deep RL, GANs, Computer Vision, NLP, Kubernetes, & Distributed Systems
Location: San Francisco
Having fun solving data structure and algorithm problems
LeetCode Algorithms: Medium & Hard Questions
AWS Lambdas, AWS Serverless Architecture, API Gateway in Node.js
Convolutional Neural Networks (CNNs) for Image Classification
OpenCV projects: Face Detection, Happiness Detector, Object Detection with SSD
Exploration of Deep Boltzmann Machines to build a recommendation system
ANN Geographic Segmentation Model to tell which of the customers are at highest risk of leaving
Deep Learning, PyTorch, TensorFlow, Keras, CUDA etc. Notes
Deep Q-Learning Model to build an AI for Self-Driving Car
Implementation and comparison of routing protocols - distance vector (DV) and the link-state (LS) protocol
Unsupervised Deep Learning with Self-Organized Maps (SOM) detecting fraud in credit card applications
combining unsupervised and supervised deep learning models to predict probability of a customer cheating.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Latent Semantic Analysis of Book Titles
Landing page of Lemons.ai
Exploring the fascinating world of Mathematics of my own free will ... or perhaps deterministically *shrugs*
Efficient neural speech synthesis
Statistical Normality Test with D’Agostino’s K² Test, Dickey-Fuller Test, LSTMs
Pandas, Numpy, Sci-kit learn, AdaBoostClassifier, MultinomialNB
Kubernetes, EKS, Terraform, ASP.NET Core 2.2, PostgreSQL banking service
Open Source Computer Vision Library
Notes on reinforcement learning algorithms, perhaps future OpenAI Gym explorations
Recurrent Neural Networks (RNN) to predict google stock's price
Simple sentiment analyzer for Amazon Reviews
microservices with flask, docker, aws, tdd, etc.
Unsupervised learning approach to building an article spinner to automatically generate content
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.