Life & fun · alternatives · 2026

24 alternatives to All Deep Learning resources you need (NLP)

:satellite: Organized Resources for Deep Learning in Natural Language Processing - astorfi/Deep-Learning-NLP

This is a curated collection of deep learning resources focused on natural language processing, hosted on GitHub. It serves as a reference guide for developers and researchers working with NLP and deep learning models.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. All Deep Learning resources you need (NLP) launched in 2018; newer entries below may have overtaken it.

1
Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
2
TensorFlow-Resources – Organized and Useful Resources about TensorFlow▲152
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2018 · github.com · its alternatives →
3
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
4
Resources that you need for Deep Learning-TensorFlow▲19
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2017 · github.com · its alternatives →
5
Where to start learning Deep learning?▲6
:satellite: Organized Resources for Deep Learning Researchers and Developers - Deep-Learning-Roadmap/README.rst at master · astorfi/Deep-Learning-Roadmap
2018 · github.com · its alternatives →
6NL
Natural Language Processing Demystified▲286
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
2022 · its alternatives →
7
Deep Learning – All You Need to Know for a Great Start▲48
:satellite: All You Need to Know About Deep Learning - A kick-starter - instillai/deep-learning-roadmap
2019 · github.com · its alternatives →
8
I made a free course, 'NLP for Semantic Search'▲239
Learn how to build semantic search systems. From machine transition to question-answering.
2021 · pinecone.io · its alternatives →
9
Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit▲126
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World
2017 · github.com · its alternatives →
10
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
11
Deep Learning Resources for Starters▲5
:satellite: All You Need to Know About Deep Learning - A kick-starter - instillai/deep-learning-roadmap
2019 · github.com · its alternatives →
12
Natural Language Processing Demystified (Part One)▲166
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
2022 · nlpdemystified.org · its alternatives →
13
Google Cloud Natural Language API▲513
Natural language API using Google machine learning
2016 · cloud.google.com · its alternatives →
14
NLP-API▲69
Natural Language Processing tools REST API
2023 · its alternatives →
15
HuggingFace – Fast tokenization library for deep-learning NLP pipelines▲168
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production - huggingface/tokenizers
2020 · github.com · its alternatives →
16
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
17
Deepgram MissionControl▲159
Train and deploy speech AI models for free
2020 · console.deepgram.com · its alternatives →
18
Deeptrue▲123
Real-time AI Copilot for global meetings
2025 · deeptrue.org · its alternatives →
19
Allen NLP▲72
An open-source NLP research library, built on PyTorch
2017 · allenai.org · its alternatives →
20
Dataherald▲126
Embed NL-to-SQL into your product
2024 · its alternatives →
21
A Course on Deep Learning Using Google's TensorFlow▲39
:earth_americas: Simple and ready-to-use tutorials for TensorFlow - astorfi/TensorFlow-World
2019 · github.com · its alternatives →
22
Deep Learning Using TensorFlow – Tutorials and Source Code▲31
:earth_americas: Simple and ready-to-use tutorials for TensorFlow - TensorFlow-World/README.rst at master · astorfi/TensorFlow-World
2017 · github.com · its alternatives →
23
Languagecrunch – NLP server Docker image▲152
2018 · hub.docker.com · its alternatives →
24
Codeq Natural Language Processing API▲105
State of the art text understanding for developers
2018 · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →