Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
- cpp
- best-practices
Repository Index
70,234 visible repositories in the index
25–48 of 337 · Most stars
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
A use-package inspired plugin manager for Neovim. Uses native packages, supports Luarocks dependencies, written in Lua, allows for expressive config
:zap: Native, high-performance, cross-platform desktop apps - built with Reason!
- reason
- reasonml
- ocaml
- react
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style.
Tiny data-over-sound library
- data-over-sound
- sound-library
- ultrasound
- fsk
Native, lightweight modal code editor
- oni
- editor
- reasonml
- ocaml
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
- evaluation
- benchmark
- large-language-model
- llm
Cutting Edge WebRTC Video Conferencing
Easy and fluent Go cron scheduling. This is a fork from https://github.com/jasonlvhit/gocron
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
- ai-agents
- cordis
- deepseek-harness
- dsh
A mostly reasonable approach to CSS and Sass.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
- chain-of-thought
- coding
- llm
- mathematics
YABS - a simple bash script to estimate Linux server performance using fio, iperf3, & Geekbench
- bench-script
- geekbench
- fio
- iperf3
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
A curated list of awesome self-supervised methods
- machine-learning
- computer-vision
- self-supervised
- reinforcement-learning
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
Democratizing Reinforcement Learning for LLMs
- agent-framework
- agentic-workflow
- distributed-training
- llm-training
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
- llm
- llm-reasoning
- machine-learning-systems
- mlsys
Implement a reasoning LLM in PyTorch from scratch, step by step
TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs.
A visual playground for agentic workflows: Iterate over your agents 10x faster
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.