dair-ai/ml-visuals
quality grade D, 42 out of 100🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
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🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
Diagrams for visualizing neural network architecture
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Arbitrary style transfer using TensorFlow.js
Pure python implementation of SNN
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
A neural network toolkit for Metal
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
RNN based Time-series Anomaly detector model implemented in Pytorch.
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
A neural network library built in JavaScript
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
Official github repository for Fast Artificial Neural Network Library (FANN)
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Deep learning in Rust, with shape checked tensors and neural networks
Recommender Learning with Tensorflow2.x
JAX - A curated list of resources https://github.com/google/jax
Convolutional recurrent network in pytorch
Everything we actually know about the Apple Neural Engine (ANE)
24,540 repositories in the index in total.