-
Drees & Sommer SE
- Hamburg, Germany
- https://jorahn.github.io/
- @rahnjonathan
Highlights
- Pro
Stars
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Machine Learning Engineering Open Book
Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.
A playbook for systematically maximizing the performance of deep learning models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
EVA Series: Visual Representation Fantasies from BAAI
General fine tuning for Stable Diffusion
Materials for the Hugging Face Diffusion Models Course
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Stable Diffusion web UI
Stable Diffusion inference on iOS / macOS using MPSGraph
A latent text-to-image diffusion model
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
Library for 8-bit optimizers and quantization routines.
Scenic: A Jax Library for Computer Vision Research and Beyond
A treasure chest for visual classification and recognition powered by PaddlePaddle
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
A curated list of awesome data labeling tools
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Synthetic Minority Over-Sampling Technique for Regression
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.