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Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Cisco Time Series Model is a continued pretrained time series forecasting model developed by Cisco.
[ICLR 2025] Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Learn AI/ML for beginners with a roadmap and free resources.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
A collection of app themes based on some Nostromo UI from Alien.
A MNIST neural network written from scratch in Odin, visualised with Raylib
Scalable computer implemented in the game of life.
Amplication brings order to the chaos of large-scale software development by creating Golden Paths for developers - streamlined workflows that drive consistency, enable high-quality code practices,…
The Score Specification provides a developer-centric and platform-agnostic Workload specification to improve developer productivity and experience. It eliminates configuration inconsistencies betwe…
All about pwning, reversing, and the road to exploit development
subhadeepchowdhury41 / Winter-of-Code-2.0-frontend
Forked from GDSC-IIIT-Kalyani/Winter-of-Code-2.0-frontendOfiicial website for Winter of Code 2.0 organised by IIIT Kalyani with collabaration of 10+ GDSC
Official website for Winter of Code 2.0 organized by IIIT Kalyani with collaboration of 10+ GDSC
Software implementation of Gaussian sampling algorithms in C++ using NTL library.
ML frontend template to receive ML features from an HTML form and pass it onto the flask API to fetch the result
It is a machine learning implementation for identifying the phishing websites
API 579 Fitness For Service Methodolgies
API 579 Fitness For Service Methodolgies
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar