ajayarunachalam
AWS Certified Solution Architect; AWS Certified Machine Learning Specialist; Microsoft Certified Power BI Associate; Certified Scrum Master
United Kingdom
Pinned Repositories
Deep-Learning-Cryptocurrency
Predicting Cryptocurrency prices (Bitcoin & ZCOIN)
Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
EDA
Exploratory Data Analysis
gui-pandas-ai
GUIPandasAI - Integrating Generative AI capabilities into Pandas as Web Interface along with key-words based data analysis services
msda
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
Neighbor-Discovery
P2P Network Resource Discovery Simulation in MANET
pychatgpt_gui
A simple, ease-to-use python APP built for unleashing the power of GPT with custom-data and pre-trained inferences.
pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
RegressorMetricGraphPlot
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (mape), etc.
vision-transformer-demo
Designing, Implementing & Deploying Transformer Deep Learning Network Architecture for computer vision tasks
ajayarunachalam's Repositories
ajayarunachalam/nlp_demo
Predicting next set of words with BERT, GPT, and XLNET
ajayarunachalam/amazon-sagemaker-credit-risk-prediction-explainability-bias-detection
ajayarunachalam/tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
ajayarunachalam/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
ajayarunachalam/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ajayarunachalam/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
ajayarunachalam/captum
Model interpretability and understanding for PyTorch
ajayarunachalam/CodeT5
ajayarunachalam/darts
A python library for easy manipulation and forecasting of time series.
ajayarunachalam/digital-user-engagement-events-database
Configures and builds a database for engagement events generated by Amazon Simple Email Service (SES) and Amazon Pinpoint engagements using Amazon Athena.
ajayarunachalam/Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
ajayarunachalam/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
ajayarunachalam/gansformer
Generative Adversarial Transformers
ajayarunachalam/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
ajayarunachalam/ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
ajayarunachalam/MathBERT
ajayarunachalam/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
ajayarunachalam/mlops
ML Ops: Machine Learning Operations
ajayarunachalam/nlp-recipes
Natural Language Processing Best Practices & Examples
ajayarunachalam/Projects_CaseStudies
ajayarunachalam/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
ajayarunachalam/pymhopt
Python Wrapper for Optimization Algorithms
ajayarunachalam/Python-1
All Algorithms implemented in Python
ajayarunachalam/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
ajayarunachalam/Repo-2021
Transformers, Graph Neural Networks, PySpark, Neural Cellular Automata, FB Prophet, Google Cloud, NLP codes, Ethical Hacking and C Language
ajayarunachalam/sahi
A lightweight vision library for performing large scale object detection/ instance segmentation.
ajayarunachalam/SOTR
SOTR: Segmenting Objects with Transformers
ajayarunachalam/torchio
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
ajayarunachalam/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
ajayarunachalam/Unofficial-Pix2Seq
Unofficial implementation of Pix2SEQ