sadaksh's starred repositories
realtime-indexer-qa-chat
Streamlit app providing real-time question-answering chat over a document collection.
AWS-SAA-C02-Study-Guide
How to become a certified AWS Solutions Architect
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
Data-Science-From-Linkedin
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
automated_decline_curve_analysis_oil_and_gas_wells
This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting for individual wells.
pyreservoir
Python utilities for reservoir engineering calculations
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
battery-rul-estimation
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
openai-cookbook
Examples and guides for using the OpenAI API
Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Visual-Template-Free-Form-Parsing
Code for my ICDAR paper "Deep Visual Template-Free Form Parsing"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Graph-Convolution-on-Structured-Documents
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
spark_calibration
Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spark dataframes
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.