sutton-barto-rl-exercises📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Stars: ✭ 77 (-45%)
pssaSingular Spectrum Analysis for time series forecasting in Python
Stars: ✭ 119 (-15%)
leilaLibrería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co
Stars: ✭ 56 (-60%)
skimpyskimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Stars: ✭ 236 (+68.57%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (-42.14%)
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-55%)
Autoeda ResourcesA list of software and papers related to automatic and fast Exploratory Data Analysis
Stars: ✭ 268 (+91.43%)
Personae📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Stars: ✭ 1,140 (+714.29%)
nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Stars: ✭ 32 (-77.14%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-70%)
Dream3dData Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
Stars: ✭ 73 (-47.86%)
TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+2179.29%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+2700%)
DataexplorerAutomate Data Exploration and Treatment
Stars: ✭ 362 (+158.57%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+105%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+3530.71%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+224.29%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (+278.57%)
Tensor HouseA collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Stars: ✭ 449 (+220.71%)
Datasets For Recommender SystemsThis is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Stars: ✭ 564 (+302.86%)
FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
Stars: ✭ 28 (-80%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+452.86%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+5957.86%)
PydatasetInstant access to many datasets in Python.
Stars: ✭ 880 (+528.57%)
EasyprAn easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
Stars: ✭ 6,046 (+4218.57%)
MazeMaze Applied Reinforcement Learning Framework
Stars: ✭ 85 (-39.29%)
DiffgramData Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
Stars: ✭ 43 (-69.29%)
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-69.29%)
Applied Ml📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Stars: ✭ 17,824 (+12631.43%)
Starcraft AiReinforcement Learning and Transfer Learning based StarCraft Micromanagement
Stars: ✭ 95 (-32.14%)
Drivebottensorflow deep RL for driving a rover around
Stars: ✭ 62 (-55.71%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-42.14%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (-12.14%)
Hn so analysisIs there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality
Stars: ✭ 94 (-32.86%)
Gopup数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
Stars: ✭ 1,229 (+777.86%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (+863.57%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+857.86%)
CausalworldCausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Stars: ✭ 76 (-45.71%)
VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-28.57%)
BlurrData transformations for the ML era
Stars: ✭ 96 (-31.43%)
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+7541.43%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+884.29%)
XdaR package for exploratory data analysis
Stars: ✭ 112 (-20%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-22.14%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-89.29%)