jffist

jffist'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, ... 🧠

  Language:Python59.8k4721366.1k

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.8k1498341.7k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.8k65194370

• 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 🚀

  Language:Python8.4k1421.2k599

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.4k13253906

• hwayne/awesome-cold-showers

  For when people get too hyped up about things

  7.3k2142282

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.7k1954581.6k

• cxli233/FriendsDontLetFriends

  Friends don't let friends make certain types of data visualization - What are they and why are they bad.

  Language:R6.7k1218264

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.9k1121112.1k

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4.4k917605

• ourownstory/neural_prophet

  NeuralProphet: A simple forecasting package

  Language:Python4k58563499

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k7656670

• markdregan/Bayesian-Modelling-in-Python

  A python tutorial on bayesian modeling techniques (PyMC3)

  Language:Jupyter Notebook2.5k1617411

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python9702822769

• havakv/pycox

  Survival analysis with PyTorch

  Language:Python87515140196

• gchq/BoilingFrogs

  GCHQ's internal Boiling Frogs research paper on software development and organisational change in the face of disruption #boilingfrogs

  61644547

• wandb/edu

  Educational materials on deep learning by Weights & Biases

  Language:Jupyter Notebook6101676276

• ing-bank/popmon

  Monitor the stability of a Pandas or Spark dataframe ⚙︎

  Language:Python500135436

• Qwicen/node

  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

  Language:Jupyter Notebook48514364

• square/pysurvival

  Open source package for Survival Analysis modeling

  Language:HTML3591866113

• IBM/TabFormer

  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

  Language:Python334102888

• loft-br/xgboost-survival-embeddings

  Improving XGBoost survival analysis with embeddings and debiased estimators

  Language:Python331824851

• arogozhnikov/infiniteboost

  InfiniteBoost: building infinite ensembles with gradient descent

  Language:Jupyter Notebook18411823

• deppen8/pandas-vet

  A plugin for Flake8 that checks pandas code

  Language:Python17045318

• Valentyn1997/CausalTransformer

  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

  Language:Python14661029

• ing-bank/probatus

  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

  Language:Python137815840

• mhw32/data-centric-deep-learning

  Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.

  Language:Python3023154

• dimtr/PyDataEHV_workshop

  Language:Jupyter Notebook10203

• dataewan/mlops-meetup

  Language:Jupyter Notebook8101

• kayvane1/wandb-course

  Demo usage of Weights & Biases for ML Ops

  Language:Python4101