Pinned Repositories
3DFasterRCNN_LungNoduleDetector
ACM-ICPC-Preparation
ACM-ICPC Preparation Guide
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
albert-chinese-ner
alphafold3
AlphaFold 3 inference pipeline.
egg
(fragile) extensions for ggplot2
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
pyTK
使用biopython从ncbi下载核酸和氨基酸序列的图形界面
lw3259111's Repositories
lw3259111/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
lw3259111/pyTK
使用biopython从ncbi下载核酸和氨基酸序列的图形界面
lw3259111/3DFasterRCNN_LungNoduleDetector
lw3259111/ACM-ICPC-Preparation
ACM-ICPC Preparation Guide
lw3259111/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
lw3259111/AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
lw3259111/awesome-knowledge-distillation
Awesome Knowledge Distillation
lw3259111/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
lw3259111/bio
使用biopython出ncbi下载氨基酸和核酸序列的gui图形界面
lw3259111/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
lw3259111/Deep-Transfer-Learning
lw3259111/exchange-file
lw3259111/flight-delays
Transfer learning for flight-delay prediction via variational autoencoders in Keras
lw3259111/gans-awesome-applications
Curated list of awesome GAN applications and demo
lw3259111/GenerativeAdversarialNetsPapers
Papers, codes, slides and blogs about Generative Adversrial Nets.
lw3259111/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
lw3259111/jcvi
Python utility libraries on genome assembly, annotation and comparative genomics
lw3259111/Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
lw3259111/Keras-GAN
Keras implementations of Generative Adversarial Networks.
lw3259111/mlens
ML-Ensemble – high performance ensemble learning
lw3259111/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
lw3259111/neural-networks-and-deep-learning-zh-cn
lw3259111/PRML
PRML algorithms implemented in Python
lw3259111/Python3
Python code and documents
lw3259111/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
lw3259111/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
lw3259111/shap
Explain the output of any machine learning model using expectations and Shapley values.
lw3259111/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
lw3259111/SurvivalNet
Deep learning survival models
lw3259111/tensorflow-MNIST-GAN-DCGAN
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.