pandamax's repositories
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
3D-Machine-Learning
A learning resource repository for 3D machine learning
alpha-GAN
pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).
awesome-semantic-segmentation
awesome-semantic-segmentation
DeepLearningFrameworks
Demo of running NNs across different frameworks
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
DIGITS
Deep Learning GPU Training System
dlcv_for_beginners
《深度学习与计算机视觉》配套代码
dstl_unet
Dstl Satellite Imagery Feature Detection
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
FastMaskRCNN
Mask RCNN in TensorFlow
finch
More than 50 machine learning models (and tests) based on TensorFlow / PyTorch
GANGogh
Using GANs to create Art
generative-adversarial-networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
KittiSeg
A Kitti Road Segmentation model implemented in tensorflow.
Machine-Learning-With-Python
此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现
markov-chain-gan
Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
nn_tools
Neural Network Tools: Converter and Analyzer. For caffe, pytorch, tensorflow, draknet and so on.
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
refinenet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
self-normalizing-networks
Chainer implementation of Self-Normalizing Networks (SNN)
Semantic_Segmentation_for_Autonomous_Driving
Various networks that could be the basis of a vision system for self-driving cars
SNNs
Tutorials and implementations for "Self-normalizing networks"
SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Tensorflow-DeconvNet-Segmentation
Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
the-gan-zoo
A list of all named GANs!
yolo-tensorflow
This is an implementation of YOLO9000 in TensorFlow