- Warsaw, Poland
-
14:15
- 1h ahead - https://serafinski.contact/
- in/tomasz-serafinski
- https://huggingface.co/serafinski
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Open-Source Web UI for Apache Kafka Management
This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mastering CUDA programming. Whether you're just starting or look…
This repository serves as a collection of research notes and resources on training large language models (LLMs) and Reinforcement Learning from Human Feedback (RLHF). It focuses on the latest resea…
CoreNet: A library for training deep neural networks
Skrypty, tutoriale oraz programistyczna baza wiedzy dotycząca pracy z modelem Bielik.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A high-throughput and memory-efficient inference and serving engine for LLMs
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
LangGraph template for a simple ReAct agent
daily.dev is a professional network for developers to learn, collaborate, and grow together 👩🏽💻 👨💻
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
Distributed Task Queue (development branch)
Production-Grade Container Scheduling and Management
General-purpose web UI for Kubernetes clusters
Helm charts for Atlassian's Data Center products
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Agent Framework / shim to use Pydantic with LLMs
Windows system utilities to maximize productivity
Python packaging and dependency management made easy