Pedro Diamel Marrero Fernández (pedrodiamel)

pedrodiamel

Geek Repo

Company:@CESARBR

Location:Recife, Pernambuco, Brasil

Home Page:https://pedrodiamel.github.io/

Twitter:@Pedrodiamel

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Pedro Diamel Marrero Fernández's repositories

ferattention

FERAtt: Facial Expression Recognition with Attention Net

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pytorchvision

The pytvision package consists of my datasets, models, and image transformations methods for computer vision projects. This package also containing the synthetic render methods.

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pytorch-classification

Pytorch model for classification

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gpt_mini_mini

learning about llms

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dl-mini-course

Deep Learning Mini Course

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halide-mini-course

Halide mini course examples

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pedrodiamel.github.io

personal web site: https://pedrodiamel.github.io/

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awesome-computer-vision

A curated list of awesome computer vision resources

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awesome-llm

Awesome-LLM: a curated list of Large Language Model

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awesome-robotics

A curated list of awesome links and software libraries that are useful for robots.

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cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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deepspeech.pytorch

Speech Recognition using DeepSpeech2.

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edk2-platforms

EDK II sample platform branches and tags

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first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

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hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

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mellotron

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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models

Models and examples built with TensorFlow

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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NeuralVoicePuppetry

This github contains the network architectures of NeuralVoicePuppetry.

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Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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pytorch-metriclearning

Metric Learning and Representation Learning

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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spot_mini_mini

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

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udacity-robot-nd

Robotics Software Engineer Projects

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