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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
cnns
rnns
coursera
andrew-ng
deep-learning
neural-network
regularization
neural-networks
andrew-ng-course
coursera-assignment
hyperparameter-tuning
neural-style-transfer
coursera-specialization
recurrent-neural-network
coursera-machine-learning
recurrent-neural-networks
neural-machine-translation
hyperparameter-optimization
convolutional-neural-network
convolutional-neural-networks
Created
2020-06-24
70 commits to master branch, last one 16 hours ago
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Created
2020-08-25
133 commits to master branch, last one 4 months ago
C++ Implementation of PyTorch Tutorials for Everyone
Created
2019-11-05
125 commits to master branch, last one 7 months ago
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when ...
Created
2024-01-21
31 commits to main branch, last one 7 months ago
122
296
apache-2.0
14
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Created
2019-08-07
41 commits to master branch, last one 20 days ago
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
Created
2018-07-10
15 commits to master branch, last one 3 years ago
用Tensorflow实现的深度神经网络。
Created
2018-03-16
177 commits to master branch, last one 2 years ago
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Created
2019-02-12
89 commits to master branch, last one 3 years ago
[IEEE TGRS 2020] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Created
2020-09-24
16 commits to master branch, last one 5 months ago
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Created
2021-05-01
1,019 commits to pub branch, last one about a year ago
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Created
2019-11-03
55 commits to master branch, last one 5 years ago
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
This repository has been archived
(exclude archived)
Created
2017-09-11
134 commits to master branch, last one 3 years ago
A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.
Created
2020-10-09
19 commits to master branch, last one 3 years ago
Implementation of Liquid Nets in Pytorch
Created
2023-11-06
15 commits to master branch, last one 11 months ago
TypeScribe is a Python Application that uses an RNN to generate realistic handwritten documents from text.
Created
2024-12-06
83 commits to master branch, last one 12 days ago
A Python library for Continual Inference Networks in PyTorch
Created
2021-08-09
483 commits to main branch, last one about a year ago
Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
Created
2020-09-28
25 commits to master branch, last one 3 years ago
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
coursera
andrew-ng
assignment
tensorflow
transformers
deep-learning
specialization
backpropagation
deeplearning-ai
inductive-transfer
python-programming
hyperparameter-tuning
recurrent-neural-network
artificial-neural-network
mathematical-optimization
neural-network-architecture
convolutional-neural-network
Created
2023-05-03
96 commits to main branch, last one 10 months ago