15 results found Sort:
- Filter by Primary Language:
- Python (9)
- R (2)
- C++ (1)
- HTML (1)
- Jupyter Notebook (1)
- Rust (1)
- +
Build your neural network easy and fast, 莫烦Python中文教学
Created
2017-05-05
121 commits to master branch, last one 2 years ago
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Created
2017-05-10
46 commits to master branch, last one 4 years ago
Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you
Created
2017-05-28
290 commits to master branch, last one 3 years ago
Educational deep learning library in plain Numpy.
Created
2017-06-03
20 commits to master branch, last one 5 years ago
Artificial Intelligence Learning Notes.
Created
2019-02-20
22 commits to master branch, last one 5 years ago
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Created
2019-04-25
444 commits to master branch, last one 2 years ago
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Created
2017-05-19
31 commits to master branch, last one 3 years ago
[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Created
2021-08-12
31 commits to main branch, last one 3 years ago
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Created
2023-03-30
184 commits to main branch, last one about a year ago
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptom...
Created
2018-12-11
84 commits to master branch, last one 4 months ago
Bayesian Neural Network in PyTorch
Created
2018-07-09
2 commits to master branch, last one 5 years ago
Imputation method for scRNA-seq based on low-rank approximation
Created
2018-08-22
33 commits to master branch, last one about a year ago
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Created
2018-04-29
36 commits to master branch, last one about a year ago
[ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
Created
2023-02-18
2 commits to main branch, last one about a year ago
A tool for downloading dropout.tv episodes
Created
2022-09-11
130 commits to main branch, last one about a month ago