Practical_RL VS TensorFlow-Tutorials

Compare Practical_RL vs TensorFlow-Tutorials and see what are their differences.

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Practical_RL TensorFlow-Tutorials
2 2
5,702 9,250
1.0% -
6.5 0.0
7 days ago over 3 years ago
Jupyter Notebook Jupyter Notebook
The Unlicense MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Practical_RL

Posts with mentions or reviews of Practical_RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-25.

TensorFlow-Tutorials

Posts with mentions or reviews of TensorFlow-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-20.

What are some alternatives?

When comparing Practical_RL and TensorFlow-Tutorials you can also consider the following projects:

webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

car-damage-detection - Detectron2 for car damage detection using custom dataset

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

awesome-rl - Reinforcement learning resources curated

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

redisai-examples - RedisAI showcase

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0