Machine-Learning-Tutorials VS mit-deep-learning-book-pdf

Compare Machine-Learning-Tutorials vs mit-deep-learning-book-pdf and see what are their differences.

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Machine-Learning-Tutorials mit-deep-learning-book-pdf
3 3
14,870 12,342
- -
0.0 2.7
about 1 month ago 7 months ago
Java
Creative Commons Zero v1.0 Universal -
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Machine-Learning-Tutorials

Posts with mentions or reviews of Machine-Learning-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-25.

mit-deep-learning-book-pdf

Posts with mentions or reviews of mit-deep-learning-book-pdf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-19.

What are some alternatives?

When comparing Machine-Learning-Tutorials and mit-deep-learning-book-pdf you can also consider the following projects:

awesome-conformal-prediction - A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

jblas - Linear Algebra for Java

awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

spidr - Accelerated machine learning with dependent types

Awesome-Quant-Machine-Learning-Trading - Quant/Algorithm trading resources with an emphasis on Machine Learning

jcohere - jCohere is a java client for accessing the Cohere.ai platform

ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

zero_to_gpt - Go from no deep learning knowledge to implementing GPT.

EffectivePyTorch - PyTorch tutorials and best practices.

javaparser-visited - Code samples for the book "JavaParser: Visited" https://leanpub.com/javaparservisited