Stars
Master programming by recreating your favorite technologies from scratch.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Machine Learning Courses and Projects
Multi-Joint dynamics with Contact. A general purpose physics simulator.
py-pdf / pypdf_table_extraction
Forked from camelot-dev/camelotA Python library to extract tabular data from PDFs
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Robust Speech Recognition via Large-Scale Weak Supervision
This repository contains the code for developing the TableNet architecture using pre-trained DenseNet121 as the encoder
Google Colab Demo of CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
State of the Art Natural Language Processing
Data science interview questions and answers
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A topic-centric list of HQ open datasets.
Solving the Traveling Salesman Problem using Self-Organizing Maps