🔥 A collection of PyTorch notebooks for learning and practicing deep learning
☆592Jan 8, 2023Updated 3 years ago
Alternatives and similar repositories for pytorch_notebooks
Users that are interested in pytorch_notebooks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP☆372Oct 2, 2020Updated 5 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆141Dec 30, 2019Updated 6 years ago
- 📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆49Jan 7, 2020Updated 6 years ago
- Writing Primer for Data Scientists☆18Feb 19, 2020Updated 6 years ago
- ✍️ A carefully curated list of NLP paper summaries☆1,476Dec 4, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 🔬 Sharing your data science notebooks with the community has never been this easy.☆43Oct 20, 2022Updated 3 years ago
- 🧠 Material for the Deep Learning Study Group☆395Mar 18, 2022Updated 4 years ago
- 📰Natural language processing (NLP) newsletter☆303Jul 20, 2020Updated 5 years ago
- 📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.☆149Jul 8, 2020Updated 5 years ago
- ✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)☆16May 18, 2020Updated 5 years ago
- Multilingual emotion analysis research☆21Apr 8, 2024Updated 2 years ago
- A club to keep learning about ML☆91Oct 7, 2021Updated 4 years ago
- PyTorch tutorials and best practices.☆1,714Mar 24, 2025Updated last year
- A guide to building awesome machine learning projects.☆248Nov 10, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Example for Logging LLM Evaluator Prompt Responses☆18Aug 14, 2023Updated 2 years ago
- ☆10Mar 8, 2021Updated 5 years ago
- NYU Deep Learning Spring 2020☆6,801Jun 16, 2025Updated 10 months ago
- The Hitchiker's Guide to PyTorch☆1,197Sep 13, 2021Updated 4 years ago
- A project for implementing ML and NLP papers☆13May 22, 2020Updated 5 years ago
- Natural Language Processing Best Practices & Examples☆6,443Aug 30, 2022Updated 3 years ago
- ☆508Aug 20, 2024Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆574May 1, 2020Updated 5 years ago
- Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆1,323Mar 25, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- fastai V2 implementation of Timeseries classification papers.☆243Oct 20, 2022Updated 3 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Dec 7, 2020Updated 5 years ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,489Mar 26, 2026Updated 3 weeks ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,285Jan 6, 2023Updated 3 years ago
- A comprehensive reference for all topics related to Natural Language Processing☆2,040Oct 12, 2025Updated 6 months ago
- The fastai book, published as Jupyter Notebooks☆24,881Aug 16, 2024Updated last year
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,564Apr 2, 2021Updated 5 years ago
- Papers & presentation materials from Hugging Face's internal science day☆2,052Oct 31, 2020Updated 5 years ago
- ☆212Jun 30, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Machine Learning Notebooks☆3,438Apr 9, 2024Updated 2 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,696Jun 1, 2024Updated last year
- Contains my explorations of TensorFlow 2.x☆380Jul 15, 2022Updated 3 years ago
- A set of jupyter notebooks on pytorch functions with examples☆162Mar 13, 2020Updated 6 years ago
- BERT-related papers☆2,039Aug 12, 2023Updated 2 years ago
- A guide to improve your research proposals.☆205Nov 12, 2020Updated 5 years ago
- A collection of various deep learning architectures, models, and tips☆17,465Feb 8, 2024Updated 2 years ago