#
baselines
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5
GigiProSerio
commented
Mar 27, 2021
I'll post it as a question as I am not quite sure that it is a bug. I have been experimenting for a while with the library in a custom environment for a school project and I am really interested in the reproducibility of the result. I have read the disclaimer in the documentation that reads that reproducible results are not guaranteed across multiple platforms or different versions of Pytorch. Ho
An index of algorithms for learning causality with data
awesome
learning-to-rank
recommender-system
causality
causality-analysis
causal-inference
multilabel-classification
baselines
causality-algorithms
unconfoundedness-assumption
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Jun 24, 2021
vlomonaco
commented
Feb 23, 2021
I noticed it is quite tricky at the moment to generate a benchmark with an unbalanced number of examples for each step.
It would be nice to have an option in ni_scenario, nc_scenario and similar to set the number of examples for each step.
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
arm
reinforcement-learning
robotics
state
pytorch
kuka
gym
representation-learning
baxter-robot
pybullet
baselines
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Apr 5, 2021 - Python
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
python
machine-learning
reinforcement-learning
openai-gym
toolbox
openai
gym
rl
baselines
stable-baselines
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Apr 6, 2021 - Python
Multi-turn dialogue baselines written in PyTorch
chatbot
transformer
seq2seq
attention
gcn
hred
baselines
self-attention
gat
multi-head
kgcvae
wseq
recosa
vhred
hran
hred-attn
dshred
word-level-attention
utterance-level-attention
dailydialog
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Mar 10, 2020 - Python
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
pytorch
vgg
mnist-classification
lenet
densenet
resnet
googlenet
resnext
mobilenet
shufflenet
dual-path-networks
senet
baselines
capsnet
mobilenetv2
pnasnet
preact-resnet
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Dec 26, 2018 - Python
Some common recommendation system baseline, with description and link.
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Dec 14, 2018
Deep Developmental Reinforcement Learning
caffe
reinforcement-learning
deep-learning
deep-reinforcement-learning
openai-gym
artificial-intelligence
ode
openai
neural-networks
mujoco
baselines
open-dynamic-engine
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Jul 1, 2020 - C++
Train, tune, and use reinforcement learning agents within minutes directly or through command line.
python
deep-neural-networks
reinforcement-learning
deep-learning
command-line
tensorflow
dqn
ddpg
hyperparameter-tuning
ddqn
acer
command-line-interface
trpo
ppo
a2c
baselines
td3
tensorflow2
optuna
wandb
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Updated
Aug 19, 2021 - Python
A well-documented A2C written in PyTorch
python
deep-neural-networks
reinforcement-learning
deep-learning
deep-reinforcement-learning
openai-gym
python3
pytorch
reinforcement-learning-algorithms
advantage
actor-critic
pytorch-tutorial
reinforcement-learning-agent
advantage-actor-critic
a2c
baselines
pytorch-implementation
stable-baselines
episode-rollout
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Jun 3, 2019 - Python
京东JDD猪脸识别比赛
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Updated
Apr 23, 2018 - Python
Baseline Python Scripts for Popular Kaggle Competitions
data-science
machine-learning
deep-learning
recurrent-neural-networks
kaggle
gru
convolutional-neural-networks
keras-neural-networks
long-short-term-memory-models
baselines
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Jul 15, 2020 - Python
Docs of NLP/deep Learning/machine learning, etc. https://siat-nlp.github.io/docs
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Jul 17, 2019 - HTML
Anomaly detection baselines
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Updated
Jan 30, 2021 - Python
A TF2.0 implementation of RL baselines.
python
machine-learning
reinforcement-learning
robotics
toolbox
openai
dqn
gym
reinforcement-learning-algorithms
codebase
c51
iqn
ppo
baselines
td3
tensorflow2
sd3
qrdqn
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Aug 22, 2021 - Python
Jopara (Guarani-dominant mixed with Spanish) sentiment analysis corpus
multilingual
deep-learning
sentiment-analysis
text-classification
corpus-linguistics
sentiment-classification
text-categorization
bilstm
baselines
code-mixing
code-switching
low-resource-languages
bert-fine-tuning
traditional-machine-learning
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May 11, 2021
An OpenAI Gym and Reinforcement Learning Library built in Typescript 🤖
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Jun 11, 2021 - TypeScript
COVID19 detection from Radiographs: Is Deep Learning able to handle the crisis ?
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Jul 22, 2020
OpenAI's PPO baseline applied to the classic game of Snake
game
benchmark
reinforcement-learning
deep-reinforcement-learning
openai-gym
project
openai
snake
gym-environment
ppo
openai-baselines
gym-environments
baselines
openai-environment
ppo2
openai-ppo-baseline
custom-environment
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Mar 1, 2020 - Python
Wikipedia Metonymy Corpus
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Jul 14, 2020 - Python
This package focuses on the definition, standardization, and development of workflow for human activity recognition in depth analysis.
workflow
machine-learning
library
framework
recognition
deep-learning
analysis
metrics
tensorflow
python3
artificial-intelligence
dataset
baseline
convolutional-neural-networks
activity
human-activity-recognition
frameworks
baselines
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May 20, 2021 - Jupyter Notebook
Methods to calculate performance for Demand Response Customers
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Nov 10, 2019 - Python
This repository contains code for simulating coupled motion of rigid ball and fluid in 2D and this is used as an environment in Gym to train a controller to balance the ball in air.
machine-learning
deep-neural-networks
reinforcement-learning
computer-graphics
deep-reinforcement-learning
openai-gym
control-systems
fluid-simulation
gym-environment
reinforcement-learning-agent
baselines
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Jan 10, 2019 - C++
Cambridge UK temperature forecast python notebooks
python
time-series
jupyter
keras
temperature
forecast
daily
lstm
resnet
fcn
mlp
yearly
vector-autoregression
baselines
mixup
test-time-augmentation
regressors
nowcast
multi-seasonal
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Aug 23, 2021 - Jupyter Notebook
Micro Service baseline: Jetty, Jersey, SLF4j, TestNG, Docker as Deployment unit
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Mar 29, 2021 - Java
World Models Experiments for Duckietown
reinforcement-learning
deep-learning
dreaming
gym
vae
self-driving-car
mixture-density-networks
ducks
self-driving
gym-environment
baselines
duckietown
ppo2
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Jun 8, 2021 - Python
Official repository of the evaluation script and baselines for the EVALITA Dank Memes 2020 task
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Sep 29, 2020 - Python
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The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:
numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0
Episode rewards do not seem to be updated in
model.learn()beforecallback.on_step(). Depending on whichcallback.localsvariable is used, this means that: