Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Tool-X is a kali linux hacking Tool installer. Tool-X developed for termux and other Linux based systems. using Tool-X you can install almost 370+ hacking tools in...
This is **DEPRECATED**! Please go to https://github.com/docker/distribution
Scripts to replace the distribution behind Windows Subsystem for Linux with any other Linux distribution published on Docker Hub....
A free Python-distribution for Windows platform, including prebuilt packages for Scientific Python.
The basic distribution probability Tutorial for Deep Learning Researchers
the open-source virtual assistant for Ubuntu based Linux distributions
Policy and data administration, distribution, and real-time updates on top of Policy Agents (OPA, Cedar, ...)...
SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering...
Simple JupyterHub distribution for 1-100 users on a single server
The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publi...
(Python Distribution) A carefully curated collection of Root Certificates for validating the trustworthiness of SSL certificates while verifying the identity of TL...
Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distributi...
Superdesk is an end-to-end news creation, production, curation, distribution, and publishing platform....
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper...
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models....
A simple and effective method for detecting out-of-distribution images in neural networks.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis