- Jakarta, Indonesia
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20:27
(UTC +07:00) - https://www.imandajagad.dev/
- @arceister
- https://medium.com/@arceister
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The operating layer for Claude Code + OpenAI Codex: persistent project memory, intent routing, safety hooks, cost telemetry, and parallel agent fleets.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Solve LeetCode problems in VS Code
Automatically sync your leetcode solutions to your github account - with some updates to keep it working
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOv7 Instance Segmentation using OpenCV and PyTorch
DeFi Developer roadmap is a curated Developer handbook which includes a list of the best tools for DApps development, resources and references!
Solidity, Defi, and blockchain security resources.
PyTorch implementation of A Style-Based Generator Architecture for Generative Adversarial Network
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
A resource for learning about Machine learning & Deep Learning
A PyTorch implementation for StyleGAN with full features.
Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"
An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
A simple implementation of Style-Based Generator Architecture for Generative Adversarial Networks with pytorch
StyleGAN2-ADA - Official PyTorch implementation