PGryllos

PGryllos's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.1k27k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• simdjson/simdjson

  Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

  Language:C++19.4k2418351k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python18.8k1408111.4k

• Olshansk/interview

  Everything you need to prepare for your technical interview

  17.8k781503.7k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.6k405772.2k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• google/oss-fuzz

  OSS-Fuzz - continuous fuzzing for open source software.

  Language:Shell10.5k2542.4k2.2k

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.9k1174.2k653

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k127793808

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.1k139478933

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k86398780

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k125421.8k

• run-youngjoo/SC-FEGAN

  SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)

  Language:Python3.4k11862530

• bfortuner/ml-glossary

  Machine learning glossary

  Language:Python3k12535725

• tensorflow/lingvo

  Lingvo

  Language:Python2.8k118254445

• grantjenks/python-diskcache

  Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

  Language:Python2.4k22261135

• CamDavidsonPilon/lifelines

  Survival analysis in Python

  Language:Python2.4k70969560

• microsoft/USBuildingFootprints

  Computer generated building footprints for the United States

  2.1k15575264

• tangxyw/RecSysPapers

  推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

  Language:Python1.3k561200

• brendandburns/designing-distributed-systems-labs

  Labs for the Designing Distributed Systems book.

  Language:JavaScript1.3k812333

• ztane/python-Levenshtein

  The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

  Language:C1.3k3066155

• sebp/scikit-survival

  Survival analysis built on top of scikit-learn

  Language:Python1.1k23228216

• HunterMcGushion/hyperparameter_hunter

  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

  Language:Python70624116100

• laurencium/Causalinference

  Causal Inference in Python

  Language:Python548231291

• logangraham/arXausality

  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

  Language:Python41371051

• codyloyd/sqlzoo-solutions

  711157

• medoidai/skrobot

  skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

  Language:Python23502

• HaminKo/SQLZoo-Solutions

  My answers to the assessments available on http://sqlzoo.net/

  Language:PLpgSQL161214