juliusfrost's Stars
python/cpython
The Python programming language
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
daviddao/awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
microsoft/FluidFramework
Library for building distributed, real-time collaborative web applications
IntersectMBO/cardano-node
The core component that is used to participate in a Cardano decentralised blockchain.
shreyashankar/gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
pilotmoon/Scroll-Reverser
Per-device scrolling prefs on macOS.
pfnet/pfrl
PFRL: a PyTorch-based deep reinforcement learning library
sasha-s/go-deadlock
Online deadlock detection in go (golang)
NVlabs/NVAE
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
danijar/dreamerv2
Mastering Atari with Discrete World Models
google-deepmind/reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
google-research/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
lukemelas/do-you-even-need-attention
Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
openai/vdvae
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
adefossez/julius
Fast PyTorch based DSP for audio and 1D signals
aviralkumar2907/CQL
Code for conservative Q-learning
fabiopardo/tonic
Tonic RL library
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
Farama-Foundation/D4RL-Evaluations
rasmusbergpalm/evostrat
A library that makes Evolutionary Strategies (ES) simple to use.
minerllabs/baselines
A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions
takuseno/d4rl-pybullet
Datasets for data-driven deep reinforcement learning with PyBullet environments
andyljones/megastep
megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
enajx/HebbianMetaLearning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
google-research/deep_ope
FiscalNote/BillSum
US Bill Summarization Corpus
juliusfrost/minerl-rllib
MineRL RLlib Benchmark
juliusfrost/share-blocked-twitter-accounts
Easily share your safety settings on Twitter with this app!