courses
Notes and plans for fastdiffusion course
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
LLMPerf is a library for validating and benchmarking LLMs
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
High-speed Large Language Model Serving for Local Deployment
Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
GitHub Action to add a GitHub status link to a CircleCI artifact.
A GitHub action to create a pull request for changes to your repository in the actions workspace
Templates for commonly used GitHub actions steps
Reports junit test results as GitHub Pull Request Check
🗒️ A pytest plugin to report test results as JSON
Large-scale language modeling tutorials with PyTorch
A setuptools/wheel/cffi extension to embed a binary data in wheels
dotfiles for the developer happiness: macos, zsh, brew, vscode, python, minimalism
A collection of C++ HTTP libraries including an easy to use HTTP server.
Pluggable in-process caching engine to build and scale high performance services
Source-to-Source Debuggable Derivatives in Pure Python
Python bindings for the Transformer models implemented in C/C++ using GGML library.
An LLM playground you can run on your laptop
RuLES: a benchmark for evaluating rule-following in language models
Taming Transformers for High-Resolution Image Synthesis
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
A Python-embedded modeling language for convex optimization problems.