dhingratul Goto Github PK
Name: Atul Dhingra
Type: User
Bio: Machine Learning Engineer| Experienced researcher in Computer Vision, Deep Learning, and Machine Learning
Location: San Jose, CA
Name: Atul Dhingra
Type: User
Bio: Machine Learning Engineer| Experienced researcher in Computer Vision, Deep Learning, and Machine Learning
Location: San Jose, CA
The fast.ai deep learning library, lessons, and tutorials
Code for finetuning AlexNet in TensorFlow >= 1.12
Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses
Tensorflow example of a conv GAN on MNIST.
Non linear regression on housing dataset using a Neural Networks based approach
How does Word2Vec work ?
Image De-raining Using a Conditional Generative Adversarial Network
Binary to Decimal Encoder-Decoder using RNN with tensorflow
Interview Questions for practice!
As a part of Udacity's course on Intro to Parallel Programming
Nearest Neighbor classification for CIFAR-10
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.
In this work, we consider learning sparse models in large scale setting, where the number of samples and the feature dimension can grow as large as millions or billions. Two immediate issues occur under such challenging scenarios: (i) com- putational cost; (ii) memory overhead.
Learning to represent text using Word2Vec
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Predict live chess games into FEN notation.
Public repo for DeepLearning.AI MLEP Specialization
Part of the ML for Finance course at Udacity
Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.
Models and examples built with TensorFlow
This is the code for "Probability Theory - The Math of Intelligence #6" By Siraj Raval on Youtube
A naive bayes algorithm is implemented on the Reuters dataset for topic classification("earn" or "acq")
Coursework from deeplearning.ai
This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
Detect and recognize characters in a fixed-resolution setting
OpenCV examples with python
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.