#
baselines
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
python
machine-learning
reinforcement-learning
robotics
pytorch
toolbox
openai
gym
reinforcement-learning-algorithms
sde
baselines
stable-baselines
sb3
gsde
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Updated
Nov 19, 2021 - Python
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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Updated
Nov 14, 2021
AndreaCossu
commented
Oct 20, 2021
We can wrap some import in a try ... catch statement so the user is not necessarily forced to install all the libraries, especially for the ones needed only by a specific strategy/logger.
e.g. quadprog, wandb, ...
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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Updated
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
-
Updated
Sep 15, 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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Updated
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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Updated
Dec 26, 2018 - Python
Quality implementations of reinforcement learning algorithms in tensorflow 2.x, for fast and effective experimentation.
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
Sep 9, 2021 - Python
Some common recommendation system baseline, with description and link.
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Updated
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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Updated
Jul 1, 2020 - C++
Simple (but Strong) Baselines for POMDPs in PyTorch
reinforcement-learning
deep-reinforcement-learning
pytorch
recurrent-neural-networks
sac
pomdp
generalization
ppo
baselines
meta-rl
robust-rl
td3
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Updated
Nov 13, 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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Updated
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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Updated
Sep 30, 2021 - Python
Anomaly detection baselines
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Updated
Jan 30, 2021 - Python
Docs of NLP/deep Learning/machine learning, etc. https://siat-nlp.github.io/docs
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Updated
Jul 17, 2019 - HTML
A TF2.0 implementation of RL baselines.
python
machine-learning
reinforcement-learning
dqn
gym
reinforcement-learning-algorithms
codebase
c51
iqn
ppo
baselines
td3
tensorflow2
sd3
qrdqn
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Updated
Sep 24, 2021 - Python
An OpenAI Gym and Reinforcement Learning Library built in Typescript 🤖
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Updated
Jun 11, 2021 - TypeScript
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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Updated
May 11, 2021
COVID19 detection from Radiographs: Is Deep Learning able to handle the crisis ?
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Updated
Jul 22, 2020
Wikipedia Metonymy Corpus
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Updated
Jul 14, 2020 - Python
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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Updated
Mar 1, 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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Updated
May 20, 2021 - Jupyter Notebook
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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Updated
Jan 10, 2019 - C++
Image restoration models that can be used as a baseline (last updated 10/1/21)
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Updated
Oct 1, 2021 - Python
Methods to calculate performance for Demand Response Customers
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Updated
Nov 10, 2019 - Python
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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Updated
Nov 19, 2021 - Jupyter Notebook
By a chance of time forecasting competition, we build this repository for baselines.
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Updated
Sep 30, 2021 - 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: