Lists (32)
All the fun stuff
192 repositories
APIs
25 repositories
Automation
97 repositories
Awesome lists
12 repositories
Basic Tools
152 repositories
Black Box
2 repositories
Command Line Interfaces
32 repositories
Dashboards
70 repositories
Data Analysis
142 repositories
DataViz
65 repositories
DevOps
63 repositories
DST Python
235 repositories
Forecasting
38 repositories
FOV
15 repositories
Git
1 repository
GUIs
21 repositories
Machine Learning
29 repositories
Math
26 repositories
Network Analysis
1 repository
NLP
6 repositories
Privat
254 repositories
Probability
28 repositories
Python
292 repositories
R Repos
1 repository
Reading Lists
5 repositories
Reporting
1 repository
Security
48 repositories
SQL
17 repositories
Testing
81 repositories
Unsorted
50 repositories
Utils
189 repositories
💹 Viz
1 repository
Starred repositories
93
stars
written in Jupyter Notebook
Clear filter
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Google Research
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
An open-source, low-code machine learning library in Python
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
NLP in Python with Deep Learning
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @…
Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Struc…
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
Anki decks for physics, astronomy, computer science, machine learning, and statistics.
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transit…
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Templates for jupyter notebooks
Library for graphical models of decision making, based on pgmpy and networkx
Crawl & visualize ICLR papers and reviews