rouninnomi's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
altair-viz/altair
Declarative statistical visualization library for Python
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
sktime/sktime
A unified framework for machine learning with time series
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
pytorch/captum
Model interpretability and understanding for PyTorch
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
catalyst-team/catalyst
Accelerated deep learning R&D
The-Japan-DataScientist-Society/100knocks-preprocess
データサイエンス100本ノック(構造化データ加工編)
ageron/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
jupyter-lsp/jupyterlab-lsp
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
faustomorales/keras-ocr
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
matsuolab-edu/dl4us
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
kieferk/dfply
dplyr-style piping operations for pandas dataframes
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
abhayspawar/featexp
Feature exploration for supervised learning
davified/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
gmalivenko/awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
keiohta/tf2rl
TensorFlow2 Reinforcement Learning
KevinMusgrave/powerful-benchmarker
A library for ML benchmarking. It's powerful.
pfnet-research/xfeat
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.
microsoft/petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
jsschrepping/r_docker
Docker container for genomics analyses in R.
baj12/scShinyHub
shiny app for single cell RNAseq experiments, with plug-in like structure for flexible integration of tools and visualizations.