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Type: User
Bio: ABCDAT warrior
Type: User
Bio: ABCDAT warrior
Sentires: A Toolkit for Phrase-level Sentiment Analysis
A general-purpose encoder-decoder framework for Tensorflow
Chatbot in 200 lines of code using TensorLayer
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
SERAB: a multi-lingual benchmark for speech emotion recognition
(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures
Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021
A game theoretic approach to explain the output of any machine learning model.
Towards Understanding Deep Learning Representations via Interactive Experimentation
A Repo to store the Google Colaboratory Notebooks that I have created and shared
Found this interesting course on GANs https://www.deeplearning.ai/program/generative-adversarial-networks-gans-specialization/, during my final year thesis. Sharing my assignment notebooks on the same
Toy notebooks as research preparation into generative adversarial networks
Description and implementation of the Shor's algorithm (to solve the prime factorization problem) using the IBM SDK Qiskit and the framework ProjectQ.
Show and Tell : A Neural Image Caption Generator
Jupyter Notebooks for the minitutorial "Combinatorial Optimization on Quantum Computers" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
Siegert (or resonant) states with Python
# Sign Language_Multi-class Classification In this notebook I have worked on a multi-class classification problem. By using the [Sign Language MNIST](https://www.kaggle.com/datamunge/sign-language-mnist) dataset, which contains 28x28 images of hands depicting the 26 letters of the english alphabet. Let's get started!
Textbook: Lukas Chrostowski, Michael Hochberg, "Silicon Photonics Design", Cambridge University Press 2015
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Simulating some basic properties of two types of nanophotonic waveguides using MEEP and BEM approaches.
In this Notebook we build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures
A discrete time scheduler designed for Quantum Network
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.