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algonotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

buyhouse

colorization_using_optimization

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

dengue

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

densedepth-pytorch

pytorch implement of [High Quality Monocular Depth Estimation via Transfer Learning]

densemapnet

DenseMapNet Keras code of "Fast Disparity Estimation using Dense Networks" paper to appear at ICRA 2018

depth-map-prediction

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

dreamnet

CS230 Project: In this project, we investigate and evaluate the performance of the state-of-the-art model for instance segmentation, Mask R-CNN, on the newly-released Mapillary dataset, whose images focus specifically on driving scenes. We transfer the learning results from the pre-trained weights, fine tune the final layers for Mapillary Datasets. The result shows a significant improvement in precision measurements from the baseline, and achieves at a surpassing performance than benchmarks.

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

imagebed

存放文档的图片

joyful-pandas

pandas中文教程

lednet-pytorch

My implement of LEDNet

leetcode

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

mapillary-vistas-semseg

Train ICNet on Mapillary-vistas-dataset

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdetection

Open MMLab Detection Toolbox

mmp

Kaggle Microsoft malware prediction 比赛8%