grzegorz-aniol

grzegorz-aniol's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++69.9k5584.2k10.1k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.4k3941094.6k

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python21.1k1485722.1k

• microsoft/BitNet

  Official inference framework for 1-bit LLMs

  Language:C++12.5k13295874

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.5k1192073.4k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.1k1171.7k1.1k

• aishwaryanr/awesome-generative-ai-guide

  A one stop repository for generative AI research updates, interview resources, notebooks and much more!

  9.9k338102.1k

• async-profiler/async-profiler

  Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events

  Language:C++7.7k175683861

• stanfordnlp/GloVe

  Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

  Language:C6.9k2301621.5k

• gunnarmorling/1brc

  1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java

  Language:Java6.6k70682k

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.5k521.1k644

• langchain4j/langchain4j

  Java version of LangChain

  Language:Java5.2k809931k

• spring-projects/spring-ai

  An Application Framework for AI Engineering

  Language:Java3.5k62813906

• codespell-project/codespell

  check code for common misspellings

  Language:Python2k24506472

• deepset-ai/FARM

  :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

  Language:Python1.7k55406247

• SynaLinks/HybridAGI

  The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected

  Language:Jupyter Notebook848241783

• superlinked/superlinked

  A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

  Language:Jupyter Notebook828222451

• EpistasisLab/KRAGEN

  Software to implement GoT with a weviate vectorized database

  Language:Python637112541

• kjam/data-cleaning-101

  Data Cleaning Libraries with Python

  Language:Jupyter Notebook283231175

• tomasonjo/llm-movieagent

  Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database

  Language:Python2109337

• bsorrentino/langgraph4j

  🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j

  Language:Java166144530

• chrisociepa/allamo

  Simple, hackable and fast implementation for training/finetuning medium-sized LLaMA-based models

  Language:Python16091115

• alod83/data-science

  Language:Jupyter Notebook146174140

• CG80499/KAN-GPT-2

  Training small GPT-2 style models using Kolmogorov-Arnold networks.

  Language:Python112337

• MarcinMoskala/coroutines_sources

  Language:Kotlin875019

• LinkedInLearning/artificial-intelligence-foundations-neural-networks-4381282

  This is a code repository for the LinkedIn Learning course Artificial Intelligence Foundations: Neural Networks.

  Language:Jupyter Notebook4552132

• AIAnytime/Machine-Learning-Models-Implementation

  Implementation of several ML models on real-world datasets with detailed explanation in notebooks.

  Language:Jupyter Notebook152013

• fagun18/Website-Comparison-Tool

  The Website Comparison Tool: The Website Comparison Tool automates the process of comparing websites by leveraging the power of Python and popular libraries such as requests, selenium, BeautifulSoup, and difflib. It offers a range of features specifically designed to support SQA tasks. ⚙️

  Language:HTML6104

• EpistasisLab/escargot

  Language:Python5300

• speakleash/speakleash-instruct-creator

  Generate instructions datasets for the fine-tuning purposes.

  Language:Python53217