Generalized Additive Models in Python with a Bayesian twist

A Generalized additive model is a predictive mathematical model defined as a sum of terms that are calibrated (fitted) with observation data. Generalized additive models form a surprisingly general framework for building models for both production software and scientific research. This Python package offers tools for building the model terms as decompositions of various basis functions. It is possible to model the terms e.g. as Gaussian processes (with reduced dimensionality) of various kernels, as piecewise linear functions, and as B-splines, […]

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Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory

Code for CVPR 2022 (oral) paper “Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory” [Paper] | [Project Page] | [Video Demo] Driving 3D characters to dance following a piece of music is highly challenging due to the spatial constraints applied to poses by choreography norms. In addition, the generated dance sequence also needs to maintain temporal coherency with different music genres. To tackle these challenges, we propose a novel music-to-dance framework, Bailando, with two powerful components: 1) a […]

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The next generation deep reinforcement learning framework

AI-Optimizer is a next generation deep reinforcement learning suit, privoding rich algorithm libraries ranging from model-free to model-based RL algorithms, from single-agent to multi-agent algorithms. Moreover, AI-Optimizer contains a flexible and easy-to-use distributed training framekwork for efficient policy training. -For now, AI-Optimizer privodes following built-in libraries and more libraries and implementations are comming soon. Multiagent Reinforcement learning Representation Reinforcement Learning Offline Reinforcement Learning Transfer Reinforcement Learning Model-based reinforcement learning Repo: Multiagent Reinforcement Learning (MARL) MARL repo contains the released codes […]

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Parallel waveform generation with DiffusionGAN

Parallel waveform generation with DiffusionGAN DiffWave: A Versatile Diffusion Model for Audio Synthesis, Zhifeng Kong et al., 2020. [arXiv:2009.09761] Tackling the Generative Learning Trilemma with Denoising Diffusion GANs, Xiao et al., 2021. [2112.07804] Requirements Tested in python 3.7.9 conda environment. Usage Download LJSpeech dataset from official:keithito. To train model, run train.py python -m utils.dump –data-dir /datasets/ljspeech –output-dir /datasets/ljspeech/vocdump –num-proc 8 python train.py –data-dir /datasets/ljspeech/vocdump –from-dump GitHub View Github    

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A simple account generator not using paid solving services

Star this if it helped to spread awareness! No 2captcha, or any solving services, 100% free This is a fork/mix of dhirk07’s 5 letter sniper, and roblox-thot‘s captchaCodeMakerv2You solve the captcha, then get the code from this site by roblox-thot, afterwards it outputs the generated accounts to a file with the name of “out.txt” in user:pass:cookie format. Python3 with pip installed. That’s all. pip install -r requirements.txt python3 gen.py DO NOT BE IDIOTIC AND RE-SELL THIS CODE. GNU General Public […]

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Generate affirmations with different styles

Generate affirmations with different styles!This generator takes user input for what they wish to change, how they wish to change it, and their preferred affirmation style.It is based on the concept of manifestation and affirmation.Outputs of this generator can be used in subliminal audios, personal scripts, or other ways.The styles provided here are based on my personal subliminal making experience and how I usually categorize affirmations.    

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This repo contains an example submission for the CSE447 project

This repo contains an example submission for the CSE447 project.For this project, you will develop a program that takes in a string of character and tries to predict the next character.For illustration purposes, this repo contains a dummy program that simply generates 3 random guesses of the next character. Input format example/input.txt contains an example of what the input to your program will look like.Each line in this file correspond to a string, for which you must guess what the […]

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