awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
https://github.com/academic/awesome-datascience
Last synced: 5 days ago
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Socialize
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Twitter Accounts
- Tony Baer
- Tony Ojeda - founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC |
- Vamshi Ambati
- Wes McKinney
- WileyEd - @Seagate Big Data Analytics @McKinsey Alum #BigData + #Analytics Evangelist #Hadoop, #Cloud, #Digital, & #R Enthusiast |
- WNYC Data News Team - driven journalism, making it visual, and showing our work. |
- Alexey Grigorev
- İlker Arslan
- INEVITABLE - up Company based in England, UK |
- Hadley Wickham
- Recep Erol
- Tony Baer
- Jan Oliver Rüdiger - with a focus on text-/data-mining |
- Mert Nuhoğlu
- Prash Chan
- Kevin Markham
- R-Bloggers
- Randy Olson
- Harsh B. Gupta
- Alexey Grigorev
- İlker Arslan
- INEVITABLE - up Company based in England, UK |
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The Data Science Toolbox
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Algorithms
- Stacking
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
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Comparison
- Regression
- Linear Regression
- Ordinary Least Squares
- Logistic Regression
- Stepwise Regression
- Multivariate Adaptive Regression Splines
- Softmax Regression
- Locally Estimated Scatterplot Smoothing
- KNN (K-Nearest Neighbors)
- SVM (Support Vector Machine)
- Decision Trees
- ID3 algorithm
- C4.5
- Ensemble Learning
- Boosting
- Bagging
- Random Forest
- AdaBoost
- Density-based clustering
- Fuzzy clustering
- Mixture models
- Dimension Reduction
- Latent Dirichlet Allocation (LDA)
- Neural Networks
- Self-Organized Maps
- Adaptive resonance theory
- Hidden Markov Models (HMM)
- Heuristic approaches
- Q Learning
- SARSA (State-Action-Reward-State-Action) algorithm
- Temporal difference learning
- k-Means
- Apriori
- EM (Expectation-Maximization)
- PageRank
- Naive Bayes
- CART (Classification and Regression Trees)
- Multilayer Perceptron
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Boltzmann Machines
- Autoencoder
- Generative Adversarial Network (GAN)
- Transformer
- Conditional Random Field (CRF)
- ML System Designs)
- datacompy - DataComPy is a package to compare two Pandas DataFrames.
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- t-SNE; t-distributed Stochastic Neighbor Embedding
- XGBoost (Extreme Gradient Boosting)
- LightGBM (Light Gradient Boosting Machine)
- CatBoost
- HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise)
- FP-Growth (Frequent Pattern Growth Algorithm)
- Isolation Forest
- Deep Embedded Clustering (DEC)
- TPU (Top-k Periodic and High-Utility Patterns)
- Context-Aware Rule Mining (Transformer-Based Framework)
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Deep Learning Packages
- altair
- addepar
- amcharts
- anychart
- bokeh
- Comet
- slemma
- d3plus
- Data-Driven Documents(D3js)
- dygraphs
- ECharts
- exhibit
- gephi
- ggplot2
- Glue
- Google Chart Gallery
- highcarts
- import.io
- jqplot
- Matplotlib
- nvd3
- Openrefine
- Seaborn
- techanjs
- Timeline
- variancecharts
- vida
- Wrangler
- r2d3
- NetworkX
- Redash
- C3
- geomap
- Netron
- PyTorch
- torchvision
- torchtext
- torchaudio
- ignite
- PyToune
- skorch
- PyVarInf
- pytorch_geometric
- GPyTorch
- pyro
- Catalyst
- pytorch_tabular
- Yolov3
- Yolov5
- Yolov8
- TensorFlow
- TensorLayer
- TFLearn
- tensorpack
- Polyaxon
- NeuPy
- tfdeploy
- TensorFlow Fold
- tensorlm
- Mesh TensorFlow
- Ludwig
- TF-Agents
- TensorForce
- keras-contrib
- Hyperas
- Elephas
- Hera
- Spektral
- qkeras
- keras-rl
- Talos
- cartodb
- Cube
- Resseract Lite
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Programming Languages
Categories
Sub Categories
Miscellaneous Tools
137
Bloggers
123
Deep Learning Packages
90
Books
84
Datasets
80
Comparison
76
Twitter Accounts
73
Comics
50
MOOC's
45
YouTube Videos & Channels
42
Facebook Accounts
41
Journals, Publications and Magazines
41
General Machine Learning Packages
38
Podcasts
33
Algorithms
28
Tutorials
25
Free Courses
22
Colleges
20
Infographics
15
Presentations
11
Data Science Competitions
6
Tools
4
Research & Knowledge Retrieval
4
Newsletters
4
Telegram Channels
3
Intensive Programs
2
Workflow
2
Hobby
1
Mailing lists
1
GitHub Groups
1
Slack Communities
1
Disaster
1
Frameworks
1
Keywords
machine-learning
86
python
59
deep-learning
58
data-science
50
pytorch
26
tensorflow
21
scikit-learn
13
keras
13
ml
12
data-analysis
12
neural-network
11
reinforcement-learning
11
artificial-intelligence
10
mlops
10
ai
9
data-visualization
9
numpy
8
computer-vision
8
hyperparameter-optimization
7
object-detection
7
awesome-list
7
gradient-boosting
7
neural-networks
7
llm
6
data-mining
6
jupyter
6
pandas
6
r
6
jupyter-notebook
6
data
5
pipeline
5
workflow
5
image-processing
5
big-data
5
spark
5
nlp
5
explainable-ai
5
explainable-ml
5
awesome
5
dataset
5
cli
4
classifier
4
gpu
4
data-engineering
4
node-embedding
4
feature-engineering
4
random-forest
4
network-embedding
4
graph-embedding
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machine-learning-algorithms
4