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Name: Amarpreet Singh
Type: User
Bio: I seek insights.
Blog: https://www.linkedin.com/in/amarpreet-singh-504008114/
Name: Amarpreet Singh
Type: User
Bio: I seek insights.
Blog: https://www.linkedin.com/in/amarpreet-singh-504008114/
Anomaly Detection
An experimental open-source attempt to make GPT-4 fully autonomous.
A curated list of awesome places to learn and/or practice algorithms.
A curated list of awesome machine learning interpretability resources.
List of tools & datasets for anomaly detection on time-series data.
Causal Relation Extraction and Identification using Conditional Random Fields
Classification, Object detection, Clustering, Segmentation, Generation of images using Convolutional Neural Networks.
A Causal Relation Schema for Text
A python library for easy manipulation and forecasting of time series.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
This is an attempt to use transformers and self attention in order to convert English descriptions into Python code.
EXL-EQ Challenge 2018 (Qualified for Round 2 : 60 teams out of 700 participating teams)
Forecasting Time-Series Data with Facebook Prophet, published by Packt
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Innovaccer Challenge 2019 (1st position IIT Roorkee)
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Book about interpretable machine learning
Intuit Challenge IIT Roorkee 2018 (Winner)
Materials for a talk I gave to Metis Data Science Bootcamp on useful Jupyter Keyboard Shortcuts and Text Snippets
The full collection of all codes for my Youtube Channel segregated as per topic.
Notebook for BERT medical named entity recognition
H2O.ai Machine Learning Interpretability Resources
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
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.