chuckfuv's Stars
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
VectorInstitute/forecasting-with-dl
Overview of State-of-the-art Deep Learning Based Methods for Time Series Forecasting
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
iosband/ts_tutorial
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
AISCIENCES/course-data-scraping-from-beginner-to-professional
Data Scraping from beginner to Professional
HowardNTUST/Marketing-Data-Science-Application
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
trainindata/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
victoresque/pytorch-template
PyTorch deep learning projects made easy.
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
visenger/awesome-mlops
A curated list of references for MLOps
paiforsyth/ML-Finance_Group
diljeet1994/Python_Tutorials
Python Notes on IPython Notebook files.
awslabs/amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
christophM/interpretable-ml-book
Book about interpretable machine learning
jamie-murdoch/ContextualDecomposition
Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
cgpotts/cs224u
Code for Stanford CS224u
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
codelucas/newspaper
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Lynten/stanford-corenlp
Python wrapper for Stanford CoreNLP.
Kensuke-Mitsuzawa/DocumentFeatureSelection
A set of metrics for feature selection from text data
EButlerIV/Python-SOPMI-IR
Python implementation of PMI-IR code utilizing Google
sfu-discourse-lab/SO-CAL
Semantic Orientation Calculator for Sentiment Analysis
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification