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Name: Sai Muralidhar Jayanthi
Type: User
Company: Carnegie Mellon University
Bio: Applied Science at AWS || Working on ML and Deep Learning applications in the domains of Text and Speech.
Name: Sai Muralidhar Jayanthi
Type: User
Company: Carnegie Mellon University
Bio: Applied Science at AWS || Working on ML and Deep Learning applications in the domains of Text and Speech.
Course materials for 11-767
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Switching
ConMask model described in paper Open-world Knowledge Graph Completion.
EMNLP 2020 paper (Constrained Fact Verification for FEVER)
DIP Techniques: 1.Edge preserving smoothing Filters 2.Image Restoration 3.Unitary Transform
EACL 2021 paper (SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification)
Scripts and datasets related to our ICON 2021 paper- "Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog"
A benchmark for code-switched NLP, ACL 2020
The Gene Expression Omnibus (GEO) data series GSE4115 contains data from 192 human subjects, each with 22,283 profiled genes. Each subject can have one of three disease states: cancer, no cancer, or suspected cancer. Your task is to build a classifier for cancer vs. no cancer by using HDLSS techniques (such as elastic net).
Build a Jekyll blog in minutes, without touching the command line.
An NLP algorithm to extract keywords from a given piece of plot/ description/ summary.
Train an LSTM on Human Action by Ludwig von Mises . This book is supposedly the best defense of capitalism ever written. Then generate five samples of random text that sound like his work. This code works with a fair understanding of LSTM and its implementation using keras library with theano backend. It is recommended to run the python script using GPU, as recurrent models are quite computationally intensive.
CPP code for FIFO, LRU and NFU memory management techniques. 'main.cpp' contains 2 global variables viz. 'n' and 'MAX_RANGE' which define the input number of queries and max_range of each query respectively.
An Open Source Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots.
SIGMORPHON 2021 Paper (A Study of Morphological Robustness of Neural Machine Translation)
A recommendation engine built using movies-lens 100k dataset. Given a user id, the system obtains movie features for all the movies in the dataset (from the already-trained-and-saved latent features obtained from user-item watchlist and optimizing a loss function by back propogation) and finds a list of best movies in the interest of the user based on his watch-history using a cosine similarity.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Modular implementation of forward and backward propagation in multi-layer-perceptrons and convolutional-neural-networks with different loss functions and activation functions
A curated list of papers and experiments in the field of Natural Language Processing (NLP)
Skin-colored objects are detected with a Bayesian classifier which is bootstrapped with a small set of training data. Then, an off-line iterative training procedure is employed to refine the classifier using additional training images. On-line adaptation of skin-color probabilities is used to enable the classifier to cope with illumination changes. Tracking over time is realized through a novel technique which can handle multiple skin-colored objects. Such objects may move in complex trajectories and occlude each other in the field of view of a possibly moving camera. Moreover, the number of tracked objects may vary in time. A prototype implementation of the developed system operates on 720x1080 pixel video with a frame rate of 30 per second.
Target tracking is the process of locating a moving object throughout a sequence of frames in a video. The project aims to design and realize a tracking system using a camera mounted on a controlled pan-tilt platform. As the target moves in the frames of the camera, the pan-tilt platform aligns itself in such a way that the object being tracked remains at the center of the camera's frame and thus in its field of vision. Clustering of Static-Adaptive Correspondences for Deformable Object Tracking (CMT) is an award-winning object tracking algorithm which is able to track a wide variety of object classes in a multitude of scenes without the need of adapting the algo- rithm to the concrete scenario in any way. A C++ implementation (CppMT) is freely available under the BSD license, meaning that you can basically do with the code whatever you want. References [1] Nebehay, G., Pugfelder, R.: Clustering of Static-Adaptive correspondences for deformable object tracking. In: Computer Vision and Pattern Recognition, IEEE (2015) 2784-2791
UNET architecture implementation with data augmentation techniques
Different deep learning architectures are implemented for time series classification and prediction purposes.
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.