Anurag-310

Anurag-310's Stars

• langchain-ai/rag-from-scratch

  Language:Jupyter Notebook2.8k843

• kyrolabs/awesome-langchain

  😎 Awesome list of tools and projects with the awesome LangChain framework

  7.7k524

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.8k2k

• krishnaik06/The-Grand-Complete-Data-Science-Materials

  Language:Python6.9k3.6k

• 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

  20.6k5.2k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4.1k1k

• logpai/bughub

  A collection of free-text bug reports for duplicate issue identification

  11425

• hideakihata/BugReportClassificationDataset

  Dataset for the study "Classifying Bug Reports to Bugs and Other Requests Using Topic Modeling"

  42

• saagarikha/Automated-Bug-Triaging-to-Developer

  For popular software systems, the number of daily submitted bug reports is high. Triaging these incoming bugs is a time consuming task. Major part of bug triaging is the assignment of a bug report to a developer with the appropriate expertise, who can resolve/fix the bug without reassigning to some other developer. We present an approach to automatically suggest developers who have the appropriate expertise for handling a bug report based on the identified software component the bug may reside in, obtained from the short description of the bug report. Our work is first to examine the impact of multiple machine learning dimensions( classifiers and training history) along with the ranked list of developers for prediction accuracy in bug assignment. We validate our approach on Eclipse Bugzilla covering 2,868,000 bug reports consisting of 253 components. We demonstrate that our techniques can achieve up to 93% prediction accuracy in bug assignment and significantly reduce the aberrant assignment of bugs. We compared the prediction time for our dataset using various algorithms such as Naive Bayes Text Classifier, Multinomial Naive Bayes and Linear SVM. We arrived at a conclusion that SVM provides higher prediction time and less learning time.

  Language:Python117

• h4iku/bug-localization

  Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files."

  Language:Python2315

• krishnadey30/LeetCode-Questions-CompanyWise

  Contains Company Wise Questions sorted based on Frequency and all time

  12.1k3.9k

• kenneym/bug_classification_research

  An NLP Model used for automated assignment of bug reports to the relevant engineering team. Utilizes a novel confidence bounding approach - Monte Carlo Dropout, and assigns underconfident predictions to a queue for human review. Built for Pegasystems Inc.

  Language:Jupyter Notebook5

• cedias/HAN-pytorch

  (Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch

  Language:Python4512

• cedrickchee/awesome-transformer-nlp

  A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

  1.1k129

• pandeykartikey/Hierarchical-Attention-Network

  Implementation of Hierarchical Attention Networks in PyTorch

  Language:Jupyter Notebook13027

• Hazoom/bert-han

  Hierarchical-Attention-Network

  Language:Python439

• nn116003/self-attention-classification

  document classification using LSTM + self attention

  Language:Python11332

• vietnh1009/Hierarchical-attention-networks-pytorch

  Hierarchical Attention Networks for document classification

  Language:Python389104

• EdGENetworks/attention-networks-for-classification

  Hierarchical Attention Networks for Document Classification in PyTorch

  Language:Jupyter Notebook606133

• josephmisiti/awesome-machine-learning

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

  Language:Python66.1k14.7k

• geekylax/TopDeepLearning

  A list of popular github projects related to deep learning

  1

• endymecy/awesome-deeplearning-resources

  Deep Learning and deep reinforcement learning research papers and some codes

  2.9k667

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  24.3k6.1k

• mbadry1/Top-Deep-Learning

  Top 200 deep learning Github repositories sorted by the number of stars.

  Language:Python1.7k429

• geekylax/How-to-learn-Deep-Learning

  A top-down, practical guide to learn AI, Deep learning and Machine Learning.

  1

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript299k39.3k

• 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 Notebook28.1k12.8k

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.5k13.3k

• sumitkumar1503/onlinequiz

  Online Quiz || Python Django

  Language:HTML203151

• caomingkai/Online-Exam-System

  💯 A MERN stack online examination application, providing features like JWT authentication random questions generation, timer automatic grading. ##Tech Stack: React/Redux, Node.js, Express, MongoDB, JWT, Passport.js

  Language:JavaScript4825