-
Stability.ai, Eleuther.ai
- Seattle, WA
- http:https://dmarx.github.io
- @DigThatData
Block or Report
Block or report dmarx
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseTTIv2.0 wishlist
Python library and shell utilities to monitor filesystem events.
Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering
Ultra fast JSON decoder and encoder written in C with Python bindings
🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
A Python module for controlling interactive programs in a pseudo-terminal
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
napari: a fast, interactive, multi-dimensional image viewer for python
Extensible memoizing collections and decorators
Extended pickling support for Python objects
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Instant neural graphics primitives: lightning fast NeRF and more
[CVPR 2022] VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)
Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)
Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)
L-Verse: Bidirectional Generation Between Image and Text
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing