Pinned Repositories
acgan-mnist
Auxilliary Conditional Generative Adversarial Networks (ACGAN) for generating MNIST samples using Tensorflow
Background-Modeling
Background modeling using Gaussian Mixture Model - C++
basic-python-for-data-analysis
It is an introduction to Python for those who have some basic programming knowledge and are trying to learn Python for data analysis.
cnn-cifar10
Classification of Cifar10 Images using a Fully Convolutional Neural Network.
conv-autoencoder
Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow
ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
imbalanced_data_classification
Various Machine Learning Algorithms for Classification in Imbalanced Dataset
kmeans-clustering
k-means Clustering Algorithm using Linear and Non-linear Kernels with MATLAB
MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
SFGAN
Semantic Fusion GAN for semi-supervised image classification
MLEnthusiast's Repositories
MLEnthusiast/MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
MLEnthusiast/SFGAN
Semantic Fusion GAN for semi-supervised image classification
MLEnthusiast/conv-autoencoder
Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow
MLEnthusiast/kmeans-clustering
k-means Clustering Algorithm using Linear and Non-linear Kernels with MATLAB
MLEnthusiast/acgan-mnist
Auxilliary Conditional Generative Adversarial Networks (ACGAN) for generating MNIST samples using Tensorflow
MLEnthusiast/imbalanced_data_classification
Various Machine Learning Algorithms for Classification in Imbalanced Dataset
MLEnthusiast/Background-Modeling
Background modeling using Gaussian Mixture Model - C++
MLEnthusiast/basic-python-for-data-analysis
It is an introduction to Python for those who have some basic programming knowledge and are trying to learn Python for data analysis.
MLEnthusiast/cnn-cifar10
Classification of Cifar10 Images using a Fully Convolutional Neural Network.
MLEnthusiast/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
MLEnthusiast/HSE_deeplearning
Fork of Lempitsky DL for HSE master students.
MLEnthusiast/improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
MLEnthusiast/improved_wgan_uc
train wgan with gp on my dataset
MLEnthusiast/ipython-notebooks
A collection of IPython notebooks covering various topics.
MLEnthusiast/lectures
Oxford Deep NLP 2017 course
MLEnthusiast/loss-landscape
Code for visualizing the loss landscape of neural nets
MLEnthusiast/MLEnthusiast.github.io
MLEnthusiast/neural-network-few-labels
Neural Network Trained with Few Labels
MLEnthusiast/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
MLEnthusiast/Practical_RL
A course in reinforcement learning in the wild
MLEnthusiast/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
MLEnthusiast/stargan
Official Implementation of StarGAN - CVPR 2018
MLEnthusiast/tensorflow
Computation using data flow graphs for scalable machine learning
MLEnthusiast/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
MLEnthusiast/tutorials
机器学习相关教程
MLEnthusiast/wsn-source-routing
Source Routing for Downward Data Traffic in Wireless Sensor Networks