sriharshams

sriharshams's Stars

• RamVegiraju/SageMaker-Deployment

  Compilation of examples of SageMaker inference options and other features.

  Language:Jupyter Notebook6731

• adelagon/automating-tests-in-python

  A collection of jupyter notebooks that contains test automation tutorials in python

  Language:Jupyter Notebook92

• awslabs/ml-io

  A high performance data access library for machine learning tasks

  Language:C++7421

• EthicalML/awesome-artificial-intelligence-guidelines

  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

  1.2k164

• EthicalML/awesome-production-machine-learning

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

  17.3k2.2k

• 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:Python23.1k4.3k

• bottlerocket-os/bottlerocket

  An operating system designed for hosting containers

  Language:Rust8.6k506

• dabit3/awesome-aws-amplify

  Curated list of AWS Amplify Resources

  1.8k185

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python782134

• benedekrozemberczki/awesome-decision-tree-papers

  A collection of research papers on decision, classification and regression trees with implementations.

  Language:Python2.4k335

• aws/sagemaker-experiments

  Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.

  Language:Python12536

• Netflix/metaflow

  :rocket: Build and manage real-life ML, AI, and data science projects with ease!

  Language:Python8k752

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.7k1k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook12.9k2.4k

• sriharshams/NaiveBayesClassifier

  Implementation of Normal and Bernoulli Naive Bayes Classifier, test with pima-indian-diabetes and MNIST dataset and comparison with sklearn Naive Bayes implementation

  Language:Jupyter Notebook1

• gbroques/naive-bayes

  A Python implementation of Naive Bayes from scratch.

  Language:Python3627

• rasbt/stat479-machine-learning-fs18

  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

  Language:Jupyter Notebook487227

• TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

  A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  Language:Python3.7k1.6k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.5k3.6k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.3k14.6k

• dmcgarry/Default_Loan_Prediction

  Code for Kaggle's Default Loan Prediction - Imperial College London challenge.

  Language:Python2932

• rasbt/algorithms_in_ipython_notebooks

  A repository with IPython notebooks of algorithms implemented in Python.

  Language:Jupyter Notebook507203

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k

• ShivamPanchal/Machine-Learning--The-100-Days

  This is a repo for my articles on linkedin. It is just a start, I will keep publishing article there on linkedIn.

  Language:Jupyter Notebook74

• ShivamPanchal/Data-Science-Resources

  Links to tutorials

  2

• JosPolfliet/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  127

• google-deepmind/pycolab

  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

  Language:Python660121

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k6k

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k726

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python15.9k6.5k