vertikal-andrea's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
iamadamdev/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
numba/numba
NumPy aware dynamic Python compiler using LLVM
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
enso-org/enso
Enso Analytics is a self-service data prep and analysis platform designed for data teams.
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
alex-sherman/deco
uqfoundation/pathos
parallel graph management and execution in heterogeneous computing
davified/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
lmmentel/awesome-time-series
Resources for working with time series and sequence data
karolzak/ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
mthh/jenkspy
Compute Natural Breaks in Python (Fisher-Jenks algorithm)
baosenguo/Kaggle-MoA-2nd-Place-Solution
hippke/wotan
Automagically remove trends from time-series data
dariopavllo/style-semantics
Code for the paper "Controlling Style and Semantics in Weakly-Supervised Image Generation", ECCV 2020
pwenker/chessli
A free and open source chess improvement app that combines the power of Lichess and Anki.
dinhanhthi/dinhanhthi.com
🔥 My personal website for taking notes. It uses Next.js and Notion as CMS.
garethjns/IncrementalTrees
Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.
jusliu9547/DataCamp_project
DataCamp projects & cheatsheet
davified/docker-python-template
wimpomp/parfor
A package to mimic the use of parfor as done in Matlab.