MaxwellRebo

MaxwellRebo's Stars

• memgraph/memgraph

  Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.

  Language:C++2.1k99

• AgileRL/AgileRL

  Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

  Language:Python50638

• WassimTenachi/PhySO

  Physical Symbolic Optimization

  Language:Python1.8k243

• lapce/lapce

  Lightning-fast and Powerful Code Editor written in Rust

  Language:Rust33.3k991

• pyutils/line_profiler

  Line-by-line profiling for Python

  Language:Python2.5k117

• ml-jku/hopfield-layers

  Hopfield Networks is All You Need

  Language:Python1.6k182

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.3k109

• ml-jku/hopular

  Hopular: Modern Hopfield Networks for Tabular Data

  Language:Python29925

• finos/legend

  The Legend project

  Language:Shell811175

• public-apis/public-apis

  A collective list of free APIs

  Language:Python295k32.1k

• xiaohk/stickyland

  Break the linear presentation of Jupyter Notebooks with sticky cells!

  Language:TypeScript50534

• trickest/cve

  Gather and update all available and newest CVEs with their PoC.

  Language:HTML6.2k775

• Jingjing-NLP/KNAS

  Codes for paper "KNAS: Green Neural Architecture Search"

  Language:Python9214

• vicariousinc/PGMax

  Loopy belief propagation for factor graphs on discrete variables, in JAX!

  Language:Python639

• pajachiet/pymongo-schema

  A schema analyser for MongoDB, written in Python.

  Language:Python7112

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.3k116

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python1.9k129

• james-simon/eigenlearning

  codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

  Language:Jupyter Notebook498

• austinsonger/Incident-Playbook

  GOAL: Incident Response Playbooks Mapped to MITRE Attack Tactics and Techniques. [Contributors Friendly]

  1.4k228

• vasturiano/react-force-graph

  React component for 2D, 3D, VR and AR force directed graphs

  Language:HTML2k261

• huggingface/accelerate

  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

  Language:Python7.2k838

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.8k435

• goktug97/estorch

  Evolution Strategy Library

  Language:Python553

• anguyen8/generative-attribution-methods

  Code for paper [Explaining image classifiers by removing input features using generative models] [ACCV 2020] https://arxiv.org/abs/1910.04256

  Language:Python154

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k321

• drgrib/dotmap

  Dot access dictionary with dynamic hierarchy creation and ordered iteration

  Language:Python45245

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.1k1.2k

• facebookresearch/mmf

  A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

  Language:Python5.4k922

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.8k862

• shap/shap

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

  Language:Jupyter Notebook21.9k3.2k