Alternatives and similar repositories for pytorch-sequence-models

Users that are interested in pytorch-sequence-models are comparing it to the libraries listed below

• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated this week
• thinkonward / challenges
  Starter notebooks and winning solutions for Challenges
  ☆16Updated 3 weeks ago
• PacktPublishing / Hyperparameter-Tuning-with-Python
  Hyperparameter Tuning with Python
  ☆187Updated this week
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last month
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 6 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated this week
• soumik12345 / mlops-zoomcamp-wandb
  ☆33Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• rafiqhasan / auto-tensorflow
  Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…
  ☆180Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆80Updated 3 years ago
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆165Updated this week
• Bellman281 / Stat4ML
  Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
  ☆80Updated 3 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated this week
• solegalli / DataTalks.Club2022
  ☆20Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆198Updated 2 years ago
• IvanReznikov / mdx-msc-data-science
  Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
  ☆80Updated 2 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆186Updated last year
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆95Updated 2 years ago
• cwallaceh / sklearn_fastapi_docker
  Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker
  ☆26Updated 3 years ago
• kurtispykes / Natural-Language-Processing
  Curated articles and code on NLP
  ☆60Updated 3 years ago
• vopani / waveton
  100 applications built with H2O Wave
  ☆99Updated 3 years ago
• lmassaron / deep-learning-for-tabular-data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆48Updated 5 months ago
• BPrasad123 / MLOps_Zoomcamp
  MLOps hands-on notes, notebooks and scripts of months of learning
  ☆27Updated 3 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆139Updated last year
• ElizaLo / Time-Series
  Awesome list and projects of Time Series
  ☆30Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago