MehdiAbbanaBennani

MehdiAbbanaBennani's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  311k8.4k50777.7k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.5k1k1.1k9.6k

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python10.1k1092.1k916

• jwasham/computer-science-flash-cards

  Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

  Language:HTML8.5k241402k

• cs230-stanford/cs230-code-examples

  Code examples in pyTorch and Tensorflow for CS230

  Language:Python4k64191k

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.7k32259357

• Dunedan/mbp-2016-linux

  State of Linux on the MacBook Pro 2016 & 2017

  Language:Shell2.1k125148108

• albermax/innvestigate

  A toolbox to iNNvestigate neural networks' predictions!

  Language:Python1.3k34260233

• google/brain-tokyo-workshop

  🧠🗼

  Language:Jupyter Notebook1.3k3827339

• jwasham/code-catalog-python

  Algorithms and data structures for review for coding interview.

  Language:Python990330214

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook9241983181

• tensorflow/tcav

  Code for the TCAV ML interpretability project

  Language:Jupyter Notebook6343464151

• torch/tutorials

  A series of machine learning tutorials for Torch7

  Language:Jupyter Notebook6235546312

• kimberli/interviews

  CS interview study sheet

  615331136

• CSAILVision/NetDissect

  Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

  Language:Python4483027113

• mochow13/competitive-programming-library

  Templates, algorithms and data structures implemented and collected for programming contests. Check README.md for an overview.

  Language:C++442160108

• nrontsis/PILCO

  Bayesian Reinforcement Learning in Tensorflow

  Language:Python316184683

• seba-1511/dist_tuto.pth

  Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial

  Language:HTML2565657

• CSAILVision/NetDissect-Lite

  Light version of Network Dissection for Quantifying Interpretability of Networks

  Language:Python217112752

• MadryLab/robust_representations

  Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

  Language:Jupyter Notebook160111117

• cybertronai/pytorch-sso

  PyTorch-SSO: Scalable Second-Order methods in PyTorch

  Language:Python1435520

• mcgillmrl/prob_mbrl

  A library of probabilistic model based RL algorithms in pytorch

  Language:Jupyter Notebook10812714

• lopezpaz/distillation_privileged_information

  Code for "Unifying distillation and privileged information" (ICLR 2016).

  Language:TeX485122

• MadryLab/cox

  A lightweight experimental logging library

  Language:Python48585

• ashthespy/Atom-LaTeX

  The only LaTeX package you need for typesetting with Atom.

  Language:JavaScript2242429

• brendenlake/CC-site

  Psych-GA.2207 Categories and Concepts

  Language:Python16301

• MadryLab/robustness_lib

  Language:Python12636

• JarnoRFB/pydata_berlin_sacred

  Lightning Talk about sacred at PyData Berlin

  Language:Jupyter Notebook9202

• MotJuMi/TCAV

  Quantitative Testing with Concept Activation Vectors in PyTorch

  Language:Python7102

• scorta/Google-Kickstart

  My solutions for Google Kickstart

  Language:C++1100