Pinned Repositories
666666
datasets
Datasets used in Plotly examples and documentation
deeplearning-models
A collection of various deep learning architectures, models, and tips
DLProjectSkeleton
Structed Deep Learning Training Pipeline
learn
Lhy_Machine_Learning_220806
李宏毅2021春季机器学习课程课件及作业
MachineLearningNote
mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
Neural_Decoding
A python package that includes many methods for decoding neural activity
nlb_tools
Python tools for participating in Neural Latents Benchmark '21
wanglei666666666's Repositories
wanglei666666666/deeplearning-models
A collection of various deep learning architectures, models, and tips
wanglei666666666/666666
wanglei666666666/datasets
Datasets used in Plotly examples and documentation
wanglei666666666/DLProjectSkeleton
Structed Deep Learning Training Pipeline
wanglei666666666/learn
wanglei666666666/Lhy_Machine_Learning_220806
李宏毅2021春季机器学习课程课件及作业
wanglei666666666/MachineLearningNote
wanglei666666666/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
wanglei666666666/Neural_Decoding
A python package that includes many methods for decoding neural activity
wanglei666666666/nlb_tools
Python tools for participating in Neural Latents Benchmark '21
wanglei666666666/Phoneme
wanglei666666666/python_knowledge_summary
wanglei666666666/pytorch-siamese
Siamese Network implementation using Pytorch
wanglei666666666/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
wanglei666666666/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
wanglei666666666/siamese
A simple, easy-to-use and flexible siamese neural network implementation for Keras
wanglei666666666/stereoEEG2speech
Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.