nitin3685

nitin3685's Stars

• ripienaar/free-for-dev

  A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Language:HTML89.5k9.7k

• nasa/fprime

  F´ - A flight software and embedded systems framework

  Language:C++10.1k1.3k

• MarcosCarreira/StatisticalConsequencesOfFatTails

  Python / R / Mathematica / ___ code and commentaries based on Nassim Taleb's "Statistical Consequences of Fat Tails" - Feel free to contribute

  Language:Mathematica8411

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.6k4.3k

• fchollet/ARC-AGI

  The Abstraction and Reasoning Corpus

  Language:JavaScript3.5k572

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.9k12.8k

• faif/python-patterns

  A collection of design patterns/idioms in Python

  Language:Python40.4k6.9k

• wearetheledger/awesome-hyperledger-fabric

  A curated list of resources for creating applications with hyperledger fabric

  473100

• sonic-net/sonic-mgmt

  Configuration management examples for SONiC

  Language:Python196723

• rasbt/stat479-machine-learning-fs19

  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

  Language:Jupyter Notebook699234

• salesforce/ctrl

  Conditional Transformer Language Model for Controllable Generation

  Language:Python1.9k208

• dssg/student-early-warning

  Using machine learning to predict high school dropouts

  Language:R6759

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k782

• firmai/industry-machine-learning

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

  Language:Jupyter Notebook7.2k1.2k

• Machine-Learning-Tokyo/Interactive_Tools

  Interactive Tools for Machine Learning, Deep Learning and Math

  2.6k306

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.7k4k

• achael/eht-imaging

  Imaging, analysis, and simulation software for radio interferometry

  Language:Python5.3k495

• google-deepmind/mathematics_dataset

  This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

  Language:Python1.8k250

• sjwhitworth/golearn

  Machine Learning for Go

  Language:Go9.3k1.2k

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.5k611

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.9k5.9k

• reshamas/fastai_deeplearn_part1

  Notes for Fastai Deep Learning Course

  Language:HTML1.1k312

• groveco/content-engine

  A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

  Language:Python534165

• EliasKotlyar/yowsup-microservice

  Microservice for yowsup

  Language:Python11759

• MrGemy95/Tensorflow-Project-Template

  A best practice for tensorflow project template architecture.

  Language:Python3.6k816