NLP LLM
awesome-deeplearning-resources. Deep Learning and deep reinforcement learning research papers and some codes
3kspark-ml-source-analysis. spark ml 算法原理剖析以及具体的源码实现分析
2kspark-graphx-source-analysis. spark graphx 的原理及相关操作的源码解析
215spark-config-and-tuning. spark性能调优总结 spark config and tuning
118spark-programming-guide-zh-cn. Spark 编程指南简体中文版
32AlgorithmsOnSpark. Some popular algorithms(dbscan,knn,fm etc.) on spark
32akka-guide-zh. akka 中文文档,通过官方文档翻译
27flume-kafka-storm-drools-example. Java
23Fast-and-General-Data-Processing-on-Large-Clusters. Matei Alexandru Zaharia博士论文的翻译-An Architecture for Fast and General Data Processing on Large Clusters
18MCMC-sampling. The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling
7tensorflow_nlp. Deep natural language process toolkit
7dl4scala. This is a deep learning toolkit that use scala write
5pgm. Probabilistic Graphical Model
4DeepLearning-500-questions. 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
4feature-engineering-for-ml-zh. :book: [译] 面向机器学习的特征工程
2dict_build. 自动构建中文词库:http://www.matrix67.com/blog/archives/5044
2AlphaTree-graphic-deep-neural-network. 将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解
2spark-sklearn. Scikit-learn integration package for Spark
2algorithms_and_data_structures. 180+ Algorithm & Data Structure Problems using C++
2spatial-trees. Python implement for spatial trees
2elasticsearch-guide.
2kcws. Deep Learning Chinese Word Segment
2featuretools. An open source python framework for automated feature engineering
1cleverhans. An adversarial example library for constructing attacks, building defenses, and benchmarking both
1adversarial-robustness-toolbox. Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
1Recommenders. Recommender Systems
1mleap. MLeap: Deploy Spark Pipelines to Production
1foolbox. A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
1AdvBox. Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
1pytorch-qrnn. PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
1GPflow. Gaussian processes in TensorFlow
1pytorch-playground. Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
1tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
1Saliency-detection-toolbox. This is a Saliency detection toolbox Specially designed for surface defect detection.
1tsfresh. Automatic extraction of relevant features from time series:
1AccSGD. Implements pytorch code for the Accelerated SGD algorithm.
1warp-ctc. Fast parallel CTC.
1youtu-graphrag. Official repository of Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
1deepnlp. Deep Learning NLP Pipeline implemented on Tensorflow
1recsys. A Tensorflow based implicit recommender system
1awesome-public-datasets. A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
1MathAndScienceNotes. Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
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