js05212/BayesianDeepLearning-Survey
quality grade C, 51 out of 100Bayesian Deep Learning: A Survey
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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
2,672 results
Bayesian Deep Learning: A Survey
Deep Learning in C#
Urban sound classification using Deep Learning
Free deep learning papers
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
A couple of python scripts to interpret geological structures from geophysical images using deep learning
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
Enumerate diverse machine learning training tricks.
Keras tutorial for beginners (using TF backend)
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Deep learning for Engineers - Physics Informed Deep Learning
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
(完结)网易云课堂微专业《深度学习工程师》听课笔记,编程作业和课后练习
Exploiting Bitcoin prices patterns with Deep Learning.
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
A real-time facial expression recognition system with webcam streaming and CNN
🔧 Deeplearning-modules
Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016
This repository contains all the deep learning projects done as tutorial
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
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