SebasUrbina

llama_index

LlamaIndex is a data framework for your LLM applications

former

Simple transformer implementation from scratch in pytorch.

unsloth

Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

duckdb-study

Compare DuckDB, Polars and Pandas for generating an artificial dataset of persons and companies

dias

Dias: Dynamic Rewriting of Pandas Code

Haystack-and-Mistral-7B-RAG-Implementation

Haystack and Mistral 7B RAG Implementation. It is based on completely open-source stack.

RAG-With-AWS-Lambda-ECR-Docker-Langchain-Huggingface-

chainlit-rag

An implementation of Retrieval Augmented Generation technique using Langchain and Chainlit

chainlit

Build Conversational AI in minutes ⚡️

awesome-llm-apps

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

RetrievalTutorials

KRAGEN

Software to implement GoT with a weviate vectorized database

whisperpluck

Scripts to make desktop Icons or hotkeys that use OpenAI's whisper for convenient voice transcription

AzureSearch_JFK_Files

This repo contains the sample code of the Azure Search and Cognitive Services used to provide insights and analysis around the JFK Files.

whisper-plus

WhisperPlus: Faster, Smarter, and More Capable 🚀

insanely-fast-whisper

PAMI

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

LLMs-from-scratch

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

taipy

Turns Data and AI algorithms into production-ready web applications in no time.

BabelGrid

BabelGrid is a common python API to work with different established grid systems.

Province-Anomaly-RAN-KPIs-Detection-

The goal of this project is to find the abnormal behaviors in different provinces as soon as possible to reduce costs.

TiemSeries-Anomaly-Detection

In this project we are going to find the anomalies in time series radio KPIs (Telecom industry) .

Applying-Voronoi-method-in-a-LTE-network-to-find-low-utilized-neighbors-for-offloading

This project is supposed to check the neighbors of congested LTE cells (which are detected by applying Voronoi method) to find if it is possible to offload them on their low utilized neighbors.

Machine-Learning-Based-Predictive-Modeling-for-4G-LTE-Traffic-Prediction

Welcome to the Machine Learning-Based Predictive Modeling for 4G Long Term Evolution (LTE) Traffic Prediction project! This cutting-edge initiative harnesses the capabilities of machine learning to forecast 4G LTE traffic patterns, enabling more efficient network management and optimization.

traffic_prediction_and_congestion

LTE Network traffic prediction and Congestion

plotly_gif

Generate .gif from your Plotly figures

Graph-Neural-Networks-INF367A

Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.

Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST