A collection of simple machine learning projects, that got me started in this wonderful domain! - prakharchoudhary/MLworld
Simple machine learning library / 簡單易用的機器學習套件 github.com/fukuball/FukuML-Tutorial Topics machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines Resources Readme License MIT license Activity Stars ...
importgraphing# custom graphing code. See our GitHub repo for details graphing.box_and_whisker(dataset, label_x="avalanche", label_y="fresh_thickness", show=True) graphing.box_and_whisker(dataset, label_x="avalanche", label_y="weak_layers", show=True) ...
Code for the classical (KRR) baseline and meta-matching algorithms can be found here: https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/predict_phenotypes/He2022_MM. The trained models for meta-matching (that is, meta-matching model 1.0) are also publicly available (https://...
download or clone this repo on our local machine set the connection string to point to our Azure SQL database if we want, we can also set the connection string to point to a Redis instance to have a2nd levelcache and abackplane
Today we announced the release of hundreds of new distributed machine learning models and capabilities for the C# and F# languages as part of the SynapseML distributed ML library. These announcements allow .NET developers to train, run, explain, and evaluate deep learning models, intelligent service...
Recurrent neural networks have led to breakthroughs in natural language processing and speech recognition. Here we show that recurrent networks, specifically long short-term memory networks can also capture the temporal evolution of chemical/biophysical
As always, the code is available on ourGitHub. FinalMLP: (F)eature gating and (IN)teraction (A)ggregation (L)ayers on top of two MLPs FinalMLP [1] is a two-stream Multi-Layer Perceptron (MLP) model built on top of DualMLP [2] to enh...
如果想要实现长上下文Bert预训练(long context pretrain),可以参考下,代码是开源的(https://github.com/HazyResearch/m2/blob/main/) 学习点: 参考长上下文Bert的实现方式,了解当前GPU运行成本背后的关键组件的一些背景信息 评测: 在非因果 BERT 风格的建模中,M2 在下游 GLUE 质量方面可以媲美 BERT-base 和 BERT...
GitHub - junxia97/SimGRACE: [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"github.com/junxia97/SimGRACE 核心要点 文章旨在解决现有在图对比学习中需要依赖大量试验和人工经验针对数据集构造增广视图,并且可能在增广不当时导致语义变化的问题,基于扰动后的en...