yanshanjing Goto Github PK

google-hosts

Google hosts

gpt-4-llm

graphchi-cpp

GraphChi's C++ version. Big Data - small machine.

hadoop-louvain-community

Map Reduce Implementation of a community detection algorithm extending Louvain method for community detection.

icdm2015

3rd Prize In the ICDM 2015 Drawbridge Cross-Device Challenge

igraph

Library for the analysis of networks

image_text_retrieval_blip_blip2

Experiments with LAVIS library to perform image2text and text2image retrieval with BLIP and BLIP2 models

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

kaggle-right-whale

2nd place solution to the Kaggle Right Whale challenge

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

keras-flask-deploy-webapp

:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

kerlym

KEras Reinforcement Learning gYM agents

learning-from-imbalanced-classes

Learning From Imbalanced Classes

learning2rank

Learning to rank with neuralnet - RankNet and ListNet

logistic-regression-sgd-mapreduce

A Python implementation of binary regularized logistic regression with stochastic gradient descent, packaged as scripts for use with Hadoop streaming

logisticregressionsgdmapreduce

minerva

Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.

ml-model-ci

MLModelCI is a complete platform for managing, converting, profiling, and deploying models as cloud services (MLaaS)

mord

Ordinal regression algorithms

mosaic

mscproject

mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA

mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

mx-rfcn

MXNet port of R-FCN

mxnet

efficient, flexible, distributed deep learning framework

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neon

Nervana's python based Deep Learning Framework

neural-language-model

Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.