Name: Abhijeet Kumar
Type: User
Company: Fidelity Investments
Bio: Interested in building solutions for real world ML applications. Experience with varied forms of practical data, including speech, text, images & high-dim data.
Location: Bangalore, India
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
bert-embedding
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
change-detection-in-satellite-imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
darknet
Convolutional Neural Networks
face_id
Face Recognition using MTCNN face detector and FaceNet (pre-trained by davidsandberg) based identification.
faceemotion_id
Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)
finbert_embedding
Token and sentence level embeddings from FinBERT model (Finance Domain)
food-classification-task-transfer-learning
The application demonstrates the advantage of using transfer learning for smaller datasets. Food-11 is a small dataset with 11K images for 11 categories of food. It uses features learnt by already trained VGG16 on large Imagenet data to train a classifier for Food Classification Task..
image-compression-with-kmeans-clustering
A lossy compression to illustrate an application of K-means clustering algorithm
instruction_finetuning_tutorials
Train Large Language Models on custom datasets (Tutorials)
language-detection-from-text---bi-gram-based
A bi-gram based language model used for language detection task from text
mail-spam-filtering
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
ner_disease_extraction_hackathon
"Innoplexus Online Hiring Hackathon: Saving lives with AI" where disease name has to be extracted from documents. The solution employes a Time distributed BI-LSTM model to perform Named Entity Recognition with 77.8% F1 score.
nl2sql
Tutorials for converting natural language to SQL (NL2SQL) to fetch required data.
object-recognition-cifar-10
It is object recognition task on CIFAR-10 dataset using CNN. It shows how to achieve 90% accuracy.
opencv
Open Source Computer Vision Library
predict-the-happiness-hackerearth-challenge
It uses 2-layered fully connected/Dense Neural network model to predict whether the hotel reviews at TripAdvisor site are positive sentiment or negative sentiment.
pygender-voice
It uses GMM to train a gender detector model. The testing has been done on subset of Google's AudioSet corpus.
qa-system-memory-networks-babi-dataset
Building a question and answering system using single layer memory network model on bAbI dataset by facebook. Currently, It is done only for single supporting fact task.
risks_with_llms
A collection of risks and mitigation techniques associated with LLM generation.
sentiment-analysis-using-tf-idf---polarity-dataset
It uses term frequency and inverse document frequency to do sentiment polarity analysis on movie reviews.
speaker-identification-using-gmms
It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.
text-classification-and-clustering
It demonstrates the example of text classification and text clustering using K-NN and K-Means models based on tf-idf features.
tf-fashionmnist
A tensorflow tutorial on Fashion MNIST Dataset. The aim is to showcase an implementation of tensorflow based deep learning model from scratch.
topic-modelling-on-wiki-corpus
It uses Latent Dirichlet Allocation algorithm to discover hidden topics from the articles. It is trained on 60,000 articles taken from simple wikipedia english corpus. Finally, It can extract the topic of the given input text article.
toxic_comment_classification_challenge
Building a multi-label classification model which predict a probability for each of the six possible types of comment toxicity (toxic, severe_toxic, obscene, threat, insult, identity_hate)
user-verification-based-on-keystroke-dynamics
To verify a subject's identity based on his keystroke patterns, ie, his typing habits
web-crawling-scrapping-bot
An application to showcase usage of selenium and beautifulsoup to crawl a website and scrap the desired page in order to extract required infromation
wns-ds-hackathon
It's a hackathon problem where we have to predict whether an employee will be promoted or not based on features. (HR Analytics)
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
