- Seattle, WA
- http://www.andrewking.ai
Stars
The Python micro framework for building web applications.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
OpenMMLab Detection Toolbox and Benchmark
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Turn (almost) any Python command line program into a full GUI application with one line
Open standard for machine learning interoperability
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Quickly rewrite git repository history (filter-branch replacement)
Super Resolution for images using deep learning.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Statsmodels: statistical modeling and econometrics in Python
A monospaced programming font inspired by the Minecraft typeface
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Python library for audio and music analysis
A faster pytorch implementation of faster r-cnn
Automatic CPU speed & power optimizer for Linux
A Python scikit for building and analyzing recommender systems
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Socket.IO integration for Flask applications.
Simple Minecraft-inspired program using Python and Pyglet
SwinIR: Image Restoration Using Swin Transformer (official repository)
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
A fast inference library for running LLMs locally on modern consumer-class GPUs
Interactive Image Generation via Generative Adversarial Networks
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

