TensorFlow Tutorials with YouTube Videos
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TensorFlow tutorials and best practices.
🚨 Collection of Prometheus alerting rules
- prometheus
- alertmanager
- alert
- rule
A list of awesome Robotics resources
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
A curated list of awesome neural radiance fields papers
- nerf
Recurrent Neural Network - A curated list of resources dedicated to RNN
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
- algorithms
- data-structures
- array
- bit-manipulation
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Promise packages, patterns, chat, and tutorials
- async-functions
- promise-modules
- promises
- javascript
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
₿ A guide (for humans!) to cryto-currencies and their algos.
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise
- solutions-architect
- solutions-engineering
- enterprise-architecture
- enterprise-software
List of articles related to deep learning applied to music
- awesome
- awesome-list
- unicorns
- list
A curated list of resources for Learning with Noisy Labels
- noisy-labels
- label-noise
- deep-neural-networks
- noisy-data
A curated list of resources on implicit neural representations.
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
A curated list of awesome OpenGL libraries, debuggers and resources.
Resources of Neural Rendering
- awesome-list
- neural-rendering
- computer-vision
- computer-graphics