graykode / distribution-is-all-you-needView external linksLinks
The basic distribution probability Tutorial for Deep Learning Researchers
☆1,642Oct 1, 2020Updated 5 years ago
Alternatives and similar repositories for distribution-is-all-you-need
Users that are interested in distribution-is-all-you-need are comparing it to the libraries listed below
Sorting:
- Machine learning, in numpy☆16,240Oct 29, 2023Updated 2 years ago
- ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP☆3,276Sep 29, 2019Updated 6 years ago
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,862Feb 21, 2024Updated last year
- PRML algorithms implemented in Python☆11,713Apr 5, 2025Updated 10 months ago
- A collection of various deep learning architectures, models, and tips☆17,417Feb 8, 2024Updated 2 years ago
- 《统计学习方法》的代码实现☆19,549Aug 22, 2023Updated 2 years ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,376Feb 1, 2026Updated last week
- Must-read papers on graph neural networks (GNN)☆16,723Dec 20, 2023Updated 2 years ago
- 南瓜书:《机器学习》(西瓜书)公式详解☆25,658Jan 21, 2026Updated 3 weeks ago
- PyTorch Tutorial for Deep Learning Researchers☆32,167Aug 15, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,469Updated this week
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,342Jul 25, 2024Updated last year
- Computer Vision Tutorial for Deep Learning Researchers☆34Aug 14, 2019Updated 6 years ago
- Single Headed Attention RNN - "Stop thinking with your head"☆1,180Nov 27, 2021Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,415Mar 3, 2024Updated last year
- My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义…☆9,575Jan 11, 2026Updated last month
- Reinforcement Learning in PyTorch☆2,276Jan 4, 2021Updated 5 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,823Feb 4, 2026Updated last week
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,008Nov 30, 2025Updated 2 months ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,229Jul 31, 2025Updated 6 months ago
- 简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程☆3,944Mar 21, 2023Updated 2 years ago
- Google Research☆37,233Feb 6, 2026Updated last week
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系sc…☆57,145Jun 26, 2024Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆14,555Aug 9, 2024Updated last year
- Must-read Papers on pre-trained language models.☆3,365Nov 6, 2022Updated 3 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,740Sep 1, 2025Updated 5 months ago
- 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。☆19,312Oct 14, 2021Updated 4 years ago
- Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the mo…☆22,980Jul 28, 2024Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,910Jan 26, 2026Updated 2 weeks ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,342Jul 3, 2024Updated last year
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,878Jul 13, 2023Updated 2 years ago
- An open-source NLP research library, built on PyTorch.☆11,890Nov 22, 2022Updated 3 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,282Aug 5, 2023Updated 2 years ago
- Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)☆2,949Oct 15, 2019Updated 6 years ago
- Latex code for making neural networks diagrams☆24,422Aug 21, 2023Updated 2 years ago
- An implementation of a deep learning recommendation model (DLRM)☆4,020Jan 12, 2026Updated last month
- An optimizer that trains as fast as Adam and as good as SGD.☆2,913Jul 23, 2023Updated 2 years ago
- Simple Tensorflow Cookbook for easy-to-use☆2,758Feb 9, 2020Updated 6 years ago
- ☆617Feb 13, 2020Updated 6 years ago