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Papers of Long Context Language Model
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Mastering Diverse Domains through World Models
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Benchmarks for Model-Based Optimization
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Simplistic Pytorch Implementation of the Dreamer-RL
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
Benchmarking the Spectrum of Agent Capabilities
Javascript parser for converting Markdown with LaTeX to HTML
Tensorflow implementation of NVAE: A Deep Hierarchical Variational Autoencoder
The Markdown-based note-taking app that doesn't suck.
Watch anything instantaneously, just write its name.
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
The code reproduces the model in Wong & Wang 2006 to explain the ramping activity appeared in the monkey's lateral intraparietal (LIP) cortex during decision making task.
Replicating "Understanding disentangling in β-VAE"
NeuroDebian packaging of SPM12 (official repo at https://github.com/spm)
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
Experiments using Gaussian Mixture VAEs
gmvae introduced by Ruishu implemented only with tensorflow
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
categorical variational autoencoder using the Gumbel-Softmax estimator
Unsupervised clustering with (Gaussian mixture) VAEs