chittella369

chittella369's Stars

• meta-llama/codellama

  Inference code for CodeLlama models

  Language:Python15.4k1.8k

• manaranjanp/MLUsingPythonBook

  Language:Jupyter Notebook1145

• manaranjanp/Python_DS_2days

  Publish to Github

  Language:Jupyter Notebook1243

• manaranjanp/dl_nlp_course

  Language:Jupyter Notebook54

• manaranjanp/spark-dev-training

  Language:Python817

• manaranjanp/MLCourseV1

  Language:Jupyter Notebook139

• chittella369/Python_Course

  Python Course

  Language:Python1

• 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:Python22.5k4.2k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66k9k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  26.6k3.6k

• microsoft/az-ml-batch-score

  Deploying a Batch Scoring Pipeline for Python Models

  Language:Jupyter Notebook1823

• raduenuca/machine-learning

  Content for Udacity's Machine Learning curriculum

  Language:Jupyter Notebook11

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.2k255

• raduenuca/sagemaker-plagiarism-detection

  Plagiarism Detection: Udacity - Machine Learning Engineer Nanodegree Program

  Language:Jupyter Notebook66

• udacity/sagemaker-deployment

  Code and associated files for the deploying ML models within AWS SageMaker

  Language:Jupyter Notebook465686

• MrKsinant/Sentiment-Analysis-Web-App

  The goal of this project is to build a sentiment analysis web app for movie reviews, based on existing IMDb reviews dataset, thanks to AWS SageMaker.

  Language:Jupyter Notebook31

• Christophe-pere/Model-Selection

  Model selection for Text classification (compare ML and DL algo)

  Language:Jupyter Notebook2720

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18k4.5k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook9.8k6.7k

• pytorch/text

  Models, data loaders and abstractions for language processing, powered by PyTorch

  Language:Python3.5k816

• RonitMalik/Portfolio

  Language:HTML13

• 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:Python22.4k3.6k

• graphql-java/graphql-java

  GraphQL Java implementation

  Language:Java6.1k1.1k

• jckarter/clay

  The Clay programming language

  Language:C++40133

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python7.4k881

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.3k1.3k

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.3k1.2k

• chittella369/stat453-deep-learning-ss20

  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

  1

• handong1587/handong1587.github.io

  Language:CSS3.1k990

• LearningJournal/Spark-Streaming-In-Python

  Apache Spark 3 - Structured Streaming Course Material

  Language:Python117151