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Name: Sai Srinadhu K
Type: User
Bio: Machine Learning Research Engineer.
Name: Sai Srinadhu K
Type: User
Bio: Machine Learning Research Engineer.
Implemented minimax and expectimax search and designed a evaluation function for Pacman State.
Advance Machine Learning (CSL 712) Course Lab Assignments
List of AI Residency Programs
Basic Capsule Network models.
Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.
Python codes for Cryptopals Crypto Challenges
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image Style Transfer Using Convolutional Neural Networks'. Implemented and trained GAN, LS-GAN and DC-GAN on MNIST dataset to produce images that resemble samples from MNIST, DC-GAN gave best resembling images.
Python code for Gibbs Sampler.
Image Classification pipeline for CIFAR-10 dataset based on K-NN, Svm, Softmax and 2-layer Neural Net Classifiers
Keras documentation, hosted live at keras.io
Neural Machine Translation (NMT) from Spanish to English. Architecture is Seq2Seq + Multiplicative Attention + Character-level conditional English (target) language model.
Reinforcement Learning in Pacman
Experimented with different AI search techniques like BFS, DFS, A* search in a Pacman environment.
Semantic Visual Search: Given an image, retrieve semantically similar looking images.
SimpleRISC Debugger
SimpleRISC functional simulator
Support Vector Machines Implementation from scratch using simplified SMO algorithm.
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
Car Detection
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.