Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-11-18 12:48:34 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Multi-species bioacoustic classification using deep learning algorithms
Обновлено 2024-06-18 01:58:08 +03:00
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
docker
reinforcement-learning
simulator
finance
inventory-management
logistics
maro
multi-agent
multi-agent-reinforcement-learning
operations-research
raas
resource-optimization
rl-algorithms
transportation
agent
citi-bike
Обновлено 2024-02-23 11:45:58 +03:00
A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
Обновлено 2024-02-15 16:24:04 +03:00
Lite Self-Training
Обновлено 2023-07-25 20:31:38 +03:00
An algorithm for cross-domain NL2SQL
Обновлено 2023-07-22 23:20:17 +03:00
Synthesizer for optimal collective communication algorithms
Обновлено 2023-07-21 21:16:40 +03:00
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
Обновлено 2023-06-13 00:27:31 +03:00
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
deep-learning
automl
neural-architecture-search
image-classification
cifar-100
cifar10
deep-learning-algorithms
imagenet
Обновлено 2023-06-12 21:22:32 +03:00
Logarithmic Reinforcement Learning
reinforcement-learning
algorithms
algorithm
discount
discount-factor
dqn
gap
log-rl
logrl
rl
action-gap
Обновлено 2023-03-25 04:36:23 +03:00
Algorithms to find Bertrand Nash equilibria in pricing games
Обновлено 2022-11-28 22:12:35 +03:00
This is the implementation of the TextNAS algorithm proposed in the paper TextNAS: A Neural Architecture Search Space tailored for Text Representation.
Обновлено 2022-11-28 22:09:08 +03:00
Algorithms to find consecutive integers that are smooth
Обновлено 2022-09-09 21:16:12 +03:00