sreelekshmyselvin Goto Github PK
Name: Sreelekshmy Selvin
Type: User
Company: Accubits Technologies Inc
Bio: Machine Learning | NLP | Deep Learning Enthusiast
Location: Trivandrum, Kerala
Name: Sreelekshmy Selvin
Type: User
Company: Accubits Technologies Inc
Bio: Machine Learning | NLP | Deep Learning Enthusiast
Location: Trivandrum, Kerala
Usecase Examples for AquilaDB
π Text-Prompted Generative Audio Model
Cheat Sheets
Information Retrieval system built by BERT and elasticsearch
Draft of the fastai book
The proposed system uses l1 trend filter as a image denoising technique. l1 trend filter was initially developed for one dimensional signals . In this work we are extending the idea for color images
LAVIS - A One-stop Library for Language-Vision Intelligence
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments
Natural Language Processing Tutorial for Deep Learning Researchers
βοΈ A carefully curated list of NLP paper summaries
π Easy-to-use and powerful NLP library with π€ Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πText Classification, π Neural Search, β Question Answering, βΉοΈ Information Extraction, π Document Intelligence, π Sentiment Analysis and πΌ Diffusion AIGC system etc.
A PDF comparison utility in Python.
[UNMAINTAINED] :evergreen_tree: A tool for parsing PDF documents into a hierarchical, HTML-like tree.
π Example projects for various NLP tasks with datasets, scripts and results
π¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
A game theoretic approach to explain the output of any machine learning model.
Financial time series analysis and prediction have become an important area of re- search in today's world. Designing and pricing securities, construction of portfolios and other risk management strategies depends on the prediction of financial time se- ries. A financial time series often involve large dataset with complex interaction among themselves. A proper analysis of this data will give the investor better gains, but the existing methodologies focus on linear models (AR, MA, ARMA, ARIMA) and non- linear models (ARCH, GARCH, TAR). These models are not capable of identifying the complex interactions and latent dynamics existing within the data. Applying Deep learning methods to these types of data will give more accurate results than the existing methods. Deep learning architectures can identify the hidden patterns in the data and is also capable of exploiting the interactions existing within the data, which is, at least not possible by the existing financial models. The proposed work uses four different deep learning architectures (RNN, LSTM, CNN, and MLP) for predicting the minute wise stock price for NSE listed companies and compares the performance of the mod- els. The proposed method uses a sliding window based approach for predicting future values on a short-term basis. The performance of the models was quantified using error percentage.
π€ Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.