Starred repositories
[Book-2021] Practical MLOps O'Reilly Book
A smarter cd command. Supports all major shells.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
High quality resources & applications for LLMs, multi-modal models and VectorDBs
Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
๐ก All You Need to Know About Deep Learning - A kick-starter
๐ Collection of Kaggle Solutions and Ideas ๐
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and moโฆ
Code of the paper: A Recipe for Watermarking Diffusion Models
This repo includes ChatGPT prompt curation to use ChatGPT better.
Ever sent a hidden message in invisible ink to your friends? Are you intrigued by the idea of cryptic message exchange? How about using images for this exchange? Steganography is what you need! It โฆ
The source code for the paper "Robust Data Hiding Using Inverse Gradient Attention".
The implementation of ACM MM 2022 paper "ChartStamp: Robust Chart Encoding for Real-World Applications".
A lightweight alternative to Kubernetes for AI, simplifying container orchestration on any cloud or on-premises and accelerating AI development, training, and deployment.
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Videos, notes and experiments to understand deep learning
Free MLOps course from DataTalks.Club
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
Natural Language Processing Tasks and References