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Stanford University
- Palo Alto
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10:21
- 7h behind - https://uslu.tech
- in/jan-lucas-uslu-151461209
Highlights
- Pro
Stars
Connect Four Environment is a project designed for training reinforcement learning models to play the classic Connect4 game. It's compatible with OpenAI Gym / Gymnasium, includes a variety of bots,…
Code Release for "MaskTerial: A Foundation Model for Automated 2D Material Flake Detection"
Project Website: https://inkscape.org - Code Repository: https://gitlab.com/inkscape/inkscape - Draw freely. 🖌
Javascript on one sheet. (and one for algorithms)
Label Studio is a multi-type data labeling and annotation tool with standardized output format
image to enable automated backups of mysql databases in containers
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Creating beautiful plots of data maps
A full-featured ShaderToy renderer in ~400 lines of code.
ZMap is a fast single packet network scanner designed for Internet-wide network surveys.
CUDA accelerated rasterization of gaussian splatting
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.
Open-source vector similarity search for Postgres
Build and run containers leveraging NVIDIA GPUs
The ArXiv Atlas is a web-based tool that visualizes research papers from the ArXiv repository, enabling users to explore and discover connections between papers through an interactive map and recei…
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Documentation on how to access and use the Quick, Draw! Dataset.
Retrieval and Retrieval-augmented LLMs
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Accelerates your reading by showing you single words very rapidly at one fixed positions