-
@Intellerts and @ktu
- Kaunas
-
03:48
(UTC +03:00) - https://orcid.org/0000-0002-2054-0624
- in/pauliusdanenas
Lists (1)
Sort Name ascending (A-Z)
Stars
Generate simple tables in terminals from a nested list of strings.
This repository serves as a comprehensive resource for the "5-Day Gen AI Intensive" course, featuring essential links to course materials and assignments.
A fast CSV command line toolkit written in Rust.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
"Mastering Distributed Tracing" by Yuri Shkuro, published by Packt
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
🦋 Production grade chaining engine behind TuneChat. Self host today!
Template for a data contract used in a data mesh.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Pytorch implementation of set transformer
Source code for Twitter's Recommendation Algorithm
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
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.
Materials for the Hugging Face Diffusion Models Course
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Modern Time Series Forecasting with Python, published by Packt
A Python nearest neighbor descent for approximate nearest neighbors
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
Arnold Schwarzenegger based programming language
A playbook for systematically maximizing the performance of deep learning models.
Insightful Tutorials and Papers about Knowledge Graphs
Ask Me Anything language model prompting