JohnFirth

JohnFirth's Stars

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k416

• lilipads/gradient_descent_viz

  interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

  Language:C++1.2k120

• rwf2/Rocket

  A web framework for Rust.

  Language:Rust24.4k1.6k

• pepsi2222/RecSys-Challenge-23

  Language:Jupyter Notebook4

• NVIDIA-Merlin/models

  Merlin Models is a collection of deep learning recommender system model reference implementations

  Language:Python26250

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust29.8k1.9k

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.5k611

• cdeotte/Kaggle-OTTO-Comp

  Language:Jupyter Notebook7510

• rspiro9/NYC-Restaurant-Yelp-and-Inspection-Analysis

  Used Hypothesis Testing to gather analytical insights about Manhattan Yelp and Inspection Grade data. Additionally, Used Machine Learning Classification techniques such as Logistic Regression, Decision Tree, Random Forest, XGBoost, and Adaboost, to predict Yelp ratings for Manhattan restaurants.

  Language:Jupyter Notebook31

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

  Language:Python1.4k225

• AmazingDD/daisyRec

  Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

  Language:Python54585

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.9k2.2k

• MrPowers/chispa

  PySpark test helper methods with beautiful error messages

  Language:Python60566

• jupyter/nbdime

  Tools for diffing and merging of Jupyter notebooks.

  Language:TypeScript2.7k160

• NVIDIA-Merlin/Transformers4Rec

  Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

  Language:Python1.1k144

• NVIDIA-Merlin/HugeCTR

  HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

  Language:C++942200

• NVIDIA-Merlin/competitions

  Solutions to Recommender Systems competitions

  Language:Jupyter Notebook19844

• NVIDIA-Merlin/dataloader

  The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

  Language:Python40425

• NVIDIA-Merlin/Merlin

  NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

  Language:Python761113

• NVIDIA-Merlin/NVTabular

  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

  Language:Python1k143

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k3.7k

• mohnish/rearrange-tabs

  Google Chrome Extension to rearrange your tabs using customizable keyboard shortcuts

  Language:HTML17025

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k529

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.5k1.6k

• chrismbryant/backpropagation

  My derivation of the backpropagation algorithm used in deep neural networks.

  239

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.3k2.8k

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.6k1.5k

• 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.

  Language:Python41441

• mattjj/autodidact

  A pedagogical implementation of Autograd

  Language:Jupyter Notebook949100

• MathiasGruber/PConv-Keras

  Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

  Language:Jupyter Notebook904252