bobbykawade

bobbykawade's Stars

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript63.3k14.1k

• imnowdevops/ddc-material

  Language:Python1.2k1.7k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML114k15.5k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k2.2k

• GoogleChromeLabs/comlink

  Comlink makes WebWorkers enjoyable.

  Language:TypeScript11.5k394

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.2k546

• acl21/PGDAST

  This repo contains study materials, lab records, previous year assignments and question papers, term end exam form, assignment instructions, percentage calculator etc. of the 1-year programme PGDAST, offered by IGNOU. Checkout the programme guide for more details!

  5059

• BParesh89/PGDAST-1

  This repo contains study material, lab records, previous year question papers and assignments etc. of the course 'Post Graduate Diploma in Applied Statistics' offered by IGNOU

  2

• LamaHamadeh/DS-ML-Books

  Data Science, Machine Learning, Data Mining and Statistical Learning Books

  149

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k7.9k

• EleutherAI/gpt-neo

  An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

  Language:Python8.2k954

• codebasics/py

  Repository to store sample python programs for python learning

  Language:Jupyter Notebook6.9k16.8k

• satssehgal/Excel_Data_Analysis_Scheduler

  Language:Python2814

• abiodunjames/building-intelligent-twitter-bot-post

  Language:Jupyter Notebook21

• codebasics/math-for-machine-learning

  Statistics and math for machine learning and data science

  Language:Jupyter Notebook114248

• d3/d3

  Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

  Language:Shell109k22.9k

• manaschaturvedi/python-course-data

  Language:Python51

• mobinni/Complete-SQL-Database-Bootcamp-Zero-to-Mastery

  193534

• alinasahoo/technocolabs-internship-prerequisites

  This repository contains all the pre-requisite notebooks for my internship as a Machine Learning Developer at Technocolabs. It includes some of the micro-courses from kaggle.

  Language:Jupyter Notebook42

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20.8k5.2k

• JAIJANYANI/Automated-Resume-Screening-System

  Automated Resume Screening System using Machine Learning (With Dataset)

  Language:CSS426202

• Devashi-Choudhary/Real-Time-Creativity-of-User

  User draws a pattern in front of the web camera using finger, and let the computer guess what you have drawn.

  Language:Jupyter Notebook82

• meghnalohani/Resume-Scoring-using-NLP

  The objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various required skills (example : Machine Learning, Data Science, Software developer, Programming) are given as input, Sketch Engine creates a corpus from the useful data available on the given links. Word Embeddings are created from the corpus and these are used to match the skills in the candidate resume with the required skills. Finally, the candidate profile is built and plotted as a bar graph for better visualization.

  Language:Jupyter Notebook5621

• shaoxiongji/knowledge-graphs

  A collection of research on knowledge graphs

  Language:JavaScript1.7k293

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.4k

• anubhav4sachan/fingerprint-recognition

  Pore-based Fingerprint Recognition System based on Deep Learning Architecture

  Language:Python273

• krishnaik06/Machine-Learning-in-90-days

  Language:Jupyter Notebook1.3k1.5k

• GSA/datagov-wptheme

  Data.gov WordPress Theme (obsolete)

  Language:JavaScript1.9k411

• SforAiDl/genrl

  A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

  Language:Python40558

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k9.6k