Pinned Repositories
1806
18.06 course at MIT
1brc
The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
AI-RemoteSensing
AI-Search-Algorithms
This is an educational repository containing implementation of some search algorithms in Artificial Intelligence.
ai_all_resources
A curated list of Best Artificial Intelligence Resources
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
amazon-sagemaker-script-mode
Amazon SageMaker Script Mode examples
AntonioFalcao
balijepalli.github.io
balijepalli
balijepalli's Repositories
balijepalli/1brc
The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
balijepalli/ai_all_resources
A curated list of Best Artificial Intelligence Resources
balijepalli/balijepalli.github.io
balijepalli
balijepalli/awesome-openai-vision-api-experiments
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams
balijepalli/balijepalli
balijepalli/Data-Analytics-with-python
small data mining and machine learning program for data analytics
balijepalli/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
balijepalli/DataScience_Interactive_Python
Python interactive dashboards for learning data science
balijepalli/gdal3.js
Convert raster and vector geospatial data to various formats and coordinate systems entirely in the browser.
balijepalli/Grokking-Algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
balijepalli/Grokking-Artificial-Intelligence-Algorithms
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
balijepalli/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
balijepalli/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
balijepalli/keycloak-docker-compose
A Docker for a Keycloak server using MariaDB, Nginx and Certbot
balijepalli/Learning-Geospatial-Analysis-with-Python-Fourth-Edition
Learning Geospatial Analysis with Python - Fourth Edition, published by Packt
balijepalli/LinAlg4DataScience
Code that accompanies the book "Linear Algebra for Data Science"
balijepalli/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
balijepalli/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
balijepalli/Machine-Learning-with-Pytorch-Scikit-Learn
My Notes from Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka
balijepalli/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
balijepalli/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
balijepalli/NNFS-book-with-Implementation
Book and code where describe each and every topic of neural network from scratch.
balijepalli/objectives-and-key-results
Objectives and Key Results (OKR) examples for goals, tasks, plans, projects, and strategy.
balijepalli/Photogrammetry-Guide
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
balijepalli/practical-statistics-for-data-scientists
Code repository for O'Reilly book
balijepalli/Practical-Time-Series-In-Python
Practical guidance for time series analysis in Python
balijepalli/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
balijepalli/segmenteverygrain
A SAM-based model for instance segmentation of images of grains
balijepalli/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
balijepalli/techniques
Techniques for deep learning with satellite & aerial imagery