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aesmc

Library for Auto-Encoding Sequential Monte Carlo

andre.cavalcante

My clone repository

andrecavalcante.github.io

My clone repository

braillerapsp

Open Source Braille embosser

camera_vga_zedboard

hard-cv

A repository of IPs for hardware computer vision (FPGA)

importance_weighted_autoencoders

A PyTorch Implementation of the Importance Weighted Autoencoders

intuitive_physics_net

iwae

A minimum implementation of Importance Weighted Autoencoder

overcoming-exploration-from-demos

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

paper-collection-for-machine-learning-hardware

Paper Collection for Machine Learning Hardware

phd_thesis

psd

Unsupervised Discovery of Parts, Structure, and Dynamics

python-for-signal-processing

Notebooks for "Python for Signal Processing" book

pythonsphero

Examples of programming Sphero using Python client

settings

smartcamera

Smart camera with OV 7670 and Zynq

solutions_to_probability_statistics

sp_cup_2021

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

space

Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

space-pytorch-implementation

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition https://arxiv.org/abs/2001.02407

spheroteam

Webcam Enabled Tracking and Control of Multiple Sphero Robots

structure-experiments

code for "Disentangling Video with Independent Prediction"

teee-aprendizado-de-maquina

Repo para disciplina TEEE-aprendizado de maquina, DEE, UFMA.

truques_matematicos_para_ml

A list of cunning and skillful mathematical acts intended to outwit the simulation

util

Utility box

variational-smc

Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)

vividstreets

Vivid Streets - a layer of machine perception for maps