A high-performance rendering engine replacement for Minecraft, which greatly improves frame rates and reduces micro-stutter
- minecraft
- fabric
- neoforge
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A high-performance rendering engine replacement for Minecraft, which greatly improves frame rates and reduces micro-stutter
(Replaces Next.js/Nuxt) 🔨 Build mission-critical applications with stability and development freedom.
HCL is the HashiCorp configuration language.
TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs.
A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
The Kalibr visual-inertial calibration toolbox
A curated list of awesome infosec courses and training resources.
Imaging is a simple image processing package for Go
Welcome to the home of the Hot Chocolate GraphQL server for .NET, the Strawberry Shake GraphQL client for .NET and Nitro the awesome Monaco based GraphQL IDE.
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Sysmon configuration file template with default high-quality event tracing
A new generation cloud backup tool
A web-based demonstration of blockchain concepts.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
:art: A curated contents of amazing CSS :)
Main Liquibase Source
TranslatedNext generation Electron build tooling based on Vite. A new generation of Electron development and build tool that supports source code protection
Phan is a static analyzer for PHP. Phan prefers to avoid false-positives and attempts to prove incorrectness rather than correctness.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Slick, declarative command line video editing & API
The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.
CSS custom properties to help accelerate adaptive and consistent design.
High-performance TensorFlow library for quantitative finance.