roatienza/Deep-Learning-Experiments Alternatives

1.2kJupyter NotebookMITactive · last push 22d agoGitHub

Deep-Learning-Experiments is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.

What is known so far comes from the other direction:

Listed as an alternative to

These projects were analysed and named Deep-Learning-Experiments among their alternatives. The relationship is not symmetric — how Deep-Learning-Experiments rates them is a separate judgement, made when Deep-Learning-Experiments is analysed in its own right.

labmlai/annotated_deep_learning_paper_implementationsGitHub

calls Deep-Learning-Experiments “choose it for a video/notes style set of deep learning experiments rather than paper-specific implementations.”

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

67.5kPythonslowing

eriklindernoren/ML-From-ScratchGitHub

calls Deep-Learning-Experiments “Choose for videos and experiment notes on deep learning, not algorithm internals.”

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

32.9kPythondormant

lazyprogrammer/machine_learning_examplesGitHub

calls Deep-Learning-Experiments “When you want video-based deep learning experiments and notes, a more informal complement to the seed.”

A collection of machine learning examples and tutorials.

8.9kPythonactive

MorvanZhou/PyTorch-TutorialGitHub

calls Deep-Learning-Experiments “Choose it if you want multimedia experiments and videos to intuit deep learning rather than a structured tutorial.”

Build your neural network easy and fast, 莫烦Python中文教学

8.5kJupyter Notebookdormant

NLP-LOVE/ML-NLPGitHub

calls Deep-Learning-Experiments “A collection of DL experiments and notes, less structured and narrower than seed.”

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

17.8kJupyter Notebookslowing

MITDeepLearning/introtodeeplearningGitHub

calls Deep-Learning-Experiments “Choose when you want informal experiment notebooks and videos for DL intuition rather than a structured course.”

Lab Materials for MIT 6.S191: Introduction to Deep Learning

8.8kJupyter Notebookslowing

MLEveryday/practicalAI-cnGitHub

calls Deep-Learning-Experiments “When you want a collection of notes/experiments/videos to tinker with deep learning rather than a coherent course.”

AI实战-practicalAI 中文版

6.9kJupyter Notebookactive