shifwang

shifwang's Stars

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala40.3k2k028.4k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.5k9105.4k8.7k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.4k4473.3k7k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k2626351.8k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.7k103831.9k

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.2k1912.4k1.2k

• szcf-weiya/ESL-CN

  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

  Language:Jupyter Notebook2.5k74239601

• widgetti/ipyvolume

  3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

  Language:TypeScript2k53319233

• tomlepaine/fast-wavenet

  Speedy Wavenet generation using dynamic programming :zap:

  Language:Python1.8k10222308

• msracver/Deep-Feature-Flow

  Deep Feature Flow for Video Recognition

  Language:Python1.3k6091298

• automl/SMAC3

  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  Language:Python1.1k42565229

• dswah/pyGAM

  [HELP REQUESTED] Generalized Additive Models in Python

  Language:Python87927264165

• zengarden/light_head_rcnn

  Light-Head R-CNN

  Language:Jupyter Notebook8354778222

• HunterMcGushion/hyperparameter_hunter

  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

  Language:Python70524116100

• WecoAI/aideml

  AIDE: the state-of-the-art machine learning engineer agent, generating machine learning solution code from natural language descriptions.

  Language:Python681191377

• xiaoylu/leetcode_category

  Leetcode solutions organized by the problem categories

  Language:Python653210134

• nchammas/flintrock

  A command-line tool for launching Apache Spark clusters.

  Language:Python63731210117

• Waikato/moa

  MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

  Language:Java6215386355

• cod3licious/autofeat

  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

  Language:Python506193662

• timestocome/Test-stock-prediction-algorithms

  Use deep learning, genetic programming and other methods to predict stock and market movements

  Language:Jupyter Notebook422486152

• dmlc/tensorboard

  Standalone TensorBoard for visualizing in deep learning

  Language:Python371243460

• automl/ConfigSpace

  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

  Language:Python206922295

• 26hzhang/StockPrediction

  Plain Stock Close-Price Prediction via Graves LSTM RNNs

  Language:Java194248113

• godatadriven/evol

  a python grammar for evolutionary algorithms and heuristics

  Language:Python18875912

• rth/pysofia

  bindings for the sofia-ml machine learning library

  Language:C++3761112

• ZhengzeZhou/unbiased-feature-importance

  Implementation of unbiased measurement of feature importance in Random Forests

  Language:Jupyter Notebook18113

• ktsiegel/incremental-random-forest

  Language:Scala8224

• greenelab/staNMF

  A python implementation of Stability NMF

  Language:Python6653

• berkeley-scf/spark-cloudwg-2015

  Materials for BRC/D-Lab Cloud Working group session on Spark on AWS and Savio

  Language:Python5201

• nalzok/xgboost-py

  Language:C++110