Popular GitHub Repositories for Netflix Chaos Monkey

Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组

Pytorch implementation of BERT4Rec and Netflix VAE.

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Neural macine translation soft alignment visualisations for web and command line

The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

jupyter notebooks alternative with touch of notion and chaos

Reliable and efficient agent-based models in Rust

Chaos Reactor makes generative AI accessible to all ?

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

Probabilistic Response mOdel Fitting with Interactive Tools

A dedicated Colab notebooks to experiment (Nanonets OCR, Monkey OCR, OCRFlux 3B, Typhoo OCR 3B) On T4 GPU - free tier

Quick monkey-patching fix for OpenAI's hallucinated multi_tool_use.parallel

Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.

This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision Science. https://link.springer.com/book/10.1007/978-981-15-3689-2

The official implementation of "ChaosEater: Fully Automating Chaos Engineering with Large Language Models"

? A curated list of resources for testing AI agents - frameworks, methodologies, benchmarks, tools, and best practices for ensuring reliable, safe, and effective autonomous AI systems

Welcome to the future of storytelling with the Curious George Adventure Creator! Dive into the playful and adventurous world of Curious George like never before. Our innovative AI model, designed for children and fans of the lovable monkey, brings George's stories to life with just a starting image and a chosen theme.

Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.