Vladimir Savinov's starred repositories
dora
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
RedPajama-Data
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
GenAI_LLM_timeline
ChatGPT, GenerativeAI and LLMs Timeline
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
open_llama
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
alpaca-lora
Instruct-tune LLaMA on consumer hardware
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
llama_interactive_console
Inference code for LLaMA models with added functionality to use console for interactive prompting.
awesome-robotics
A list of awesome Robotics resources
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.