Christophernph
Follow
Stars
An extremely fast Python package and project manager, written in Rust.
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours
Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)
Implementation of papers in 100 lines of code.
CUDA accelerated rasterization of gaussian splatting
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
NeurIPS 2024: Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
Official implementation of Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer
Official repository for "AM-RADIO: Reduce All Domains Into One"
Official implement of paper "AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation" [EMNLP 24']
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
This repository contains a command-line interface(CLI) that can detect and blur out faces and license plates(PII) from images and videos. The CLI takes an image or video file as input, runs an anon…
Universal Monocular Metric Depth Estimation
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
This is official implementtaion of "VmambaIR: Visual State Space Model for Image Restoration"
Model summary in PyTorch similar to `model.summary()` in Keras
An outdated tutorial on how to manage a Python project
Python bindings for real-time control of Franka Emika robots.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Label Studio is a multi-type data labeling and annotation tool with standardized output format