hse-aml/intro-to-dl
quality grade F, 32 out of 100Resources for "Introduction to Deep Learning" course.
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,688 results
Resources for "Introduction to Deep Learning" course.
Implementation of some deep learning algorithms.
Koç University deep learning framework.
Deep Learning framework for Julia
NYU Deep Learning Spring 2021
Deep Learning tutorials in jupyter notebooks.
Code and other material for the book "Deep Learning and the Game of Go"
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Deep Learning for Time Series Classification
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
A distributed graph deep learning framework.
Deep learning in Python
Attempting to make the Deep Learning Book easier to understand.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
A Deep Learning Recommender System
PyTorch deep learning projects made easy.
Jupyter notebooks for using & learning Keras
a distributed deep learning platform
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A playbook for systematically maximizing the performance of deep learning models.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
24,522 repositories in the index in total.