-
KR Labs
- Budapest
- https://hlt.bme.hu/en/kovacsadam
- @adaamko
- in/adaamko
Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Python tool for converting files and office documents to Markdown.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading document agent and OCR platform
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code and documentation to train Stanford's Alpaca models, and generate the data.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!
XLNet: Generalized Autoregressive Pretraining for Language Understanding
An Open-Source Package for Neural Relation Extraction (NRE)
Top2Vec learns jointly embedded topic, document and word vectors.
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
Automatic architecture search and hyperparameter optimization for PyTorch
A tool for refurbishing and modernizing Python codebases
A library for advanced large language model reasoning
Train AI models efficiently on medical images using any framework
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
Interpretability and explainability of data and machine learning models
High-performance retrieval engine for unstructured data
🪐 End-to-end NLP workflows from prototype to production



