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SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product

  • accept-crypto
  • accept-crypto-payments
  • crypto
  • crypto-gateway

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

  • tabular-data
  • gans
  • train-dataframe
  • adversarial-filtering

A PyPI mirror client according to PEP 381 + PEP 503 + PEP 691

  • mirror
  • mirroring
  • pypi
  • pypi-mirror-client

GLM 5.3 abliterated or uncensored API access with RouterHub. Browse 35 jailbreak prompt links, compare GLM models, and find SDK examples, coding-tool setup, pricing, and evaluation guides.

  • abliterated
  • abliterated-models
  • ai-api
  • ai-jailbreaks

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

  • semantic-segmentation
  • lidar
  • semantickitti
  • 3d-lidar-data

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

  • 3d-object-detection
  • 3d-detection
  • 3d-deep-learning
  • pytorch

AI Agent Identity and Access Management and Inference Firewall

  • agent-identity
  • ai-audit
  • ai-firewall
  • ai-gateway

TranslatedA completion of the landscape-format full character reference sheet based on the ZipZipPipe (胖次狐, "Panties Fox") AI girl character art: it is broken down into separate assets for three-view turnarounds / expressions / outfits / props, the side and back views are inferred and completed, and everything is stitched together at native pixels 1:1. CC BY-NC-SA 4.0, non-commercial.

  • ai-art
  • anime
  • bilibili
  • cc-by-nc-sa

💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney) — 250+ poses × 5 angles in line art, names in ja/zh/en/ko

  • ai-art
  • line-art
  • mannequin
  • pose-reference

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.