Software Alternatives, Accelerators & Startups

Lichess VS TensorFlow

Compare Lichess VS TensorFlow and see what are their differences

Lichess logo Lichess

The complete chess experience, play and compete in tournaments with friends others around the world.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Lichess Landing page
    Landing page //
    2023-01-04
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Lichess videos

Review of LiChess, Chess.com, ChessClub, ICC, Playchess, chesscube Reviewed!

More videos:

  • Review - Learning from your mistakes - Lichess has best online chess features and it is free!
  • Review - Introduction to Game Analysis on Lichess

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Lichess and TensorFlow)
Chess
100 100%
0% 0
Data Science And Machine Learning
Games
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Lichess and TensorFlow. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Lichess and TensorFlow

Lichess Reviews

Chess.com vs Lichess.org
Chess.com and Lichess.org - just “Lichess” from here on; pronounced as lee-chess - are the two most popular chess servers on the internet.

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, Lichess seems to be a lot more popular than TensorFlow. While we know about 894 links to Lichess, we've tracked only 7 mentions of TensorFlow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Lichess mentions (894)

  • How to make a Lichess bot in Python
    Once you’re finished, we’re going to set up a lichess bot account. Head over to https://lichess.org/ and create a new account. - Source: dev.to / about 1 month ago
  • How I hacked chess.com with a rookie exploit
    Https://lichess.org/ The best I’ve found. It’s also crowd funded and they talk about their interest tech as well. - Source: Hacker News / 4 months ago
  • So bad at chess that it’s genuinely upsetting at this point, I need some hope
    If you want to improve make it your goal to play the best chess you can, not increase an arbitrary number. Watch YouTube series like John Bartholomew's "Climb the Rating Ladder" for some general insight into what you might be doing wrong. Read Irving Chernev's "Logical Chess: Move By Move" to see the thinking process of high level players. Do lots of puzzles (I like lichess.org for puzzles). And always analyze... Source: 6 months ago
  • Humans vs. Stockfish’s eval function
    The easiest way to play against Stockfish is perhaps on https://lichess.org/, but it's not the only chess engine that evaluates positions with a neural network. Source: 6 months ago
  • The DGPT season opener will be sponsored by chess.com!
    If you actually like chess, try lichess.org, the free and open-source, no ads ever, premium alternative. Source: 6 months ago
View more

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
View more

What are some alternatives?

When comparing Lichess and TensorFlow, you can also consider the following products

Chess.com - Play chess on Chess.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Lucas Chess - The aim is to play chess against the computer with increasing levels of difficulty and with a...

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Chess Tempo Database - Chess Tempo Database gives you a library of more than 2 million searchable chess games.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.