sadaksh's starred repositories
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Smart-Question-Answering-System-on-Document
It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.
guidance-for-low-code-intelligent-document-processing-on-aws
This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with workload demands.
amazon-textract-serverless-large-scale-document-processing
Process documents at scale using Amazon Textract
pytorch-template
PyTorch deep learning projects made easy.
awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
the-algorithm
Source code for Twitter's Recommendation Algorithm
Coursera-Deep-Learning-Specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning Specialization offered by deeplearning.ai
Machine-Learning-Goodness
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
recsys-on-rnn
A recommender system for predicting online consumer behaviour based on RNN.
Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
Marketing-for-Engineers
A curated collection of marketing articles & tools to grow your product.
Hands-On-Data-Science-for-Marketing
Hands-On Data Science for Marketing, published by Packt
HackerrankPractice
170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
hybrid_space
Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.