The Wayback Machine - https://web.archive.org/web/20230326084733/https://github.com/explore
Skip to content

Here's what's popular on GitHub today...

Trending repository

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  • Updated Mar 25, 2023
  • Python
Linux logo

Popular topic

Linux is an open source kernel.

Trending repository

Untitled Goose Tool is a robust and flexible hunt and incident response tool that adds novel authentication and data gathering methods in order to run a full investigation against a customer’s Azure Active Directory (AzureAD), Azure, and M365 environments.

  • Updated Mar 25, 2023
  • Python

App recommended by GitHub

Semaphore

Semaphore lets you test and deploy code at the push of a button with hosted continuous integration and delivery.

After you push code to GitHub, it quickly runs your tests on a platform with first-class Docker support and 100+ tools preinstalled. Semaphore lets you parallelize your builds, get feedback right inside pull requests, and deploy more often in a unified workflow. Already trusted by thousands of businesses around the globe, it can help your team move faster too.

annotated_deep_learning_paper_implementations

Trending repository

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  • Updated Mar 25, 2023
  • Jupyter Notebook

App recommended by GitHub

Coveralls

Coveralls.io: Deliver Better Code

We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite.

Eliminate Tech Debt

Maintaining a well-tested codebase is mission-critical, but figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, let it do the heavy lifting. Coveralls works with your CI to sift through coverage data to find gaps you didn't know you had.