aiexplorations's repositories
nonlinear-dynamics
Exploring nonlinear dynamics, chaos, fractals and similar topics
LearningResources
A page with learning resources for AI and Machine Learning
learning-rust
A code base for my Rust experiments only for learning the language
datascience
A collection of code from R and Python specific to Data Science.
deeplearning
Various experiments using Keras, Tensorflow and other deep learning libraries
dlaicourse
Notebooks for learning deep learning
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
RagaExperiments
Generation of musical sequences from Carnatic ragas.
semantic_search
Weaviate POC
rexplorations
Code snippets and data sets from the blog posts on my blog at http://aiexplorations.in (earlier at rexplorations.wordpress.com )
sequence_classification
A few LSTM sequence classification models (with ideas for some more)
aiexplorations.github.io
AI Explorations' Github Site
dask-scaling-dataframe
Python and Dask: Scaling the Dataframe
data_engineering_template
Data engineering template repo which enables collection of data and management of data in a SQLite database
docker-spark-cluster
A Spark cluster setup running on Docker containers
figma_plugin
Figma plugin done with html css and JS
genrl
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations
image_similarity
Solving the geological image similarity problem statement
keras-preprocessing
Utilities for working with image data, text data, and sequence data.
koalas
Koalas: pandas API on Apache Spark
learn-javascript
Starter files for the challenges in the Learn JavaScript course
magenta-js
Magenta.js: Music and Art Generation with Machine Learning in the browser
mlops_template_repo
A template repo for building ML applications
RAG_system
Generic RAG system which can be used to build a local question-answering bot that you can drop documents into, and which can be used to answer questions about a topic
sktime
A unified framework for machine learning with time series
turbine
An app which takes data from a database and builds out a machine learning model