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Name: Jishnu Ray Chowdhury
Type: User
Bio: Computer Science PhD Student in University of Illinois at Chicago. Interests: ML, NLP, AI.
Location: Illinois, Chicago
Name: Jishnu Ray Chowdhury
Type: User
Bio: Computer Science PhD Student in University of Illinois at Chicago. Interests: ML, NLP, AI.
Location: Illinois, Chicago
A simple 3D CNN in Keras for Lung Nodule Detection.
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Extractive Summarization based on RAKE.
Extractive Summarization based on statements ranked using TextRank
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
Attempted implementation of a Bi-directional GRU followed by a linear-chain-CRF (from scratch) for Named Entity Recognition.
In this work, we study and compare multiple capsule routing algorithms for text classification including dynamic routing, Heinsen routing, and capsule-routing inspired attention-based sentence encoding techniques like dynamic self-attention. Further, similar to some works in computer vision, we do an ablation test of the capsule network where we remove the routing algorithm itself. We analyze the theoretical connection between attention and capsule routing, and contrast the two ways of normalizing the routing weights. Finally, we present a new way to do capsule routing, or rather iterative refinement, using a richer attention function to measure agreement among output and input capsules and with highway connections in between iterations.
UIC CS-594 Causal Inference Project Fall 2019
Hybrid Conversational Bot based on both neural retrieval and neural generative mechanism with TTS.
Official Repository for "Modeling Hierarchical Structures with Continuous Recursive Neural Networks" (ICML 2021)
Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
Implementation of Dynamic Memory Network Plus for Question-Answering. Tested on Induction tasks of bAbi 10K dataset.
The entmax mapping and its loss, a family of sparse softmax alternatives.
CIS 761 Datatbase Project. Essentially a 'toy-Reddit-like' website. People can make accounts, comment, there are 'sub-forums' (sorry no capability to create new subforums for now) etc.
Fuzzy C Mean Clustering on IRIS Dataset implemented in C.
Implementation of character level auto text generator using multilayered GRU in Keras
Just playing around with gradients - calculating influence of input pixels on the layer outputs of a CNN
An experimental custom seq-2-seq model with both layer-wise (inter-layer), and intra-layer attention (attention to previous hidden states of the same RNN unit) for abstractive summarization.
Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"
Official Implementation of Keyphrase Dropout
Machine Translation using Transfromers
Resources for: Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup (ACL SRW 2020)
Learning Neural Net Parameters using Evolutionary Strategies
Attempted implementation of a minimal R-NET (with a different answer layer). Trained and tested only on the induction tasks of bAbi 10k dataset.
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.