Ruben Roberto's repositories

avatarify-python-youtube

Avatars for Zoom, Skype and other video-conferencing apps.

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ethminer_RTX30series

This is a project based on the Original Ethminer project, we just added support for the new Nvidia RTX 30 series

dlbt_public

Deep learning Benchmark tool with UI - Run most popular models and test your hardware at 100%

aider

aider is GPT powered coding in your terminal

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Ruben_scripts

A list of scripts usefull for work

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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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bizonchat_bot_blog

This is a web app that allow us to create blog post automatically, it works with text blogs and Youtube transcripts.

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chainlit

Build Python LLM apps in minutes ⚡️

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DL-training-stress-test

This is a DL training job that runs in multi GPUs and push all the CPU + GPU + Memory

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generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

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gpu-burn

Multi-GPU CUDA stress test

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malware_showcase

Understand the nature of malicious software with practical examples in Python.

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newsbot

Create a news digest that scans for keywords -- in this case, on Hacker News

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nv_report_debuger_app

A tool to analize the nvidia-bug-report file in an easy way.

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opencv

Open Source Computer Vision Library

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petals

🌸 Run large language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

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Pytroch2.0_GPU_benchmark

This is a benchmark to test GPU performance: training time, train samples per second and Accuracy using Pytorch2.0.

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Safe-and-Stable-Ckpt2Safetensors-Conversion-Tool-GUI

Convert your Stable Diffusion checkpoints quickly and easily.

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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Thin-Plate-Spline-Motion-Model

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

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torch2trt

An easy to use PyTorch to TensorRT converter

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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yolo8_benchmark_multiGPU

This is a code to test Multi GPU performance with the new Pytorch 2.0 on a Yolo dataset.

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