rajdeep-biswas

rajdeep-biswas's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript119k2.1k10214.7k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook94.2k6887.8k15.2k

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell87.9k3.1k2435.7k

• srbhr/Resume-Matcher

  Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

  Language:Python5k28652.2k

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.4k1471201k

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k41335280

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k77134519

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.3k595763

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3.1k4939271

• google/differential-privacy

  Google's differential privacy libraries.

  Language:Go3k11575345

• cl2333/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

  Language:Python2.9k4961k

• salesforce/CodeT5

  Home of CodeT5: Open Code LLMs for Code Understanding and Generation

  Language:Python2.8k43169410

• pgmpy/pgmpy

  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

  Language:Python2.7k74899715

• https-deeplearning-ai/tensorflow-1-public

  Language:Jupyter Notebook2.4k56312.6k

• google/CausalImpact

  An R package for causal inference in time series

  Language:R1.7k10357254

• ericdrowell/ElGrapho

  Language:JavaScript1.7k3614153

• Suryakant-Bharti/Important-Java-Concepts

  🚀 Complete Java - A to Z ║ 📚 Notes and Programs of all Important Concepts of Java - OOPS, Data Structures, Algorithms, Design Patterns & Development + Kotlin + Android :fire:

  Language:Java936146338

• nicolomantini/LinkedIn-Easy-Apply-Bot

  Automate the application process on LinkedIn

  Language:Python81024111325

• akoumjian/datefinder

  Find dates inside text using Python and get back datetime objects

  Language:HTML63518157165

• typoes/harry-potter-gen-z

  Harry Potter: The Gen Z Edition

  Language:Makefile598447145

• OpenMined/PyDP

  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

  Language:Python50620158138

• M-Nauta/TCDF

  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

  Language:Jupyter Notebook4771415103

• ylongqi/openrec

  OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

  Language:Python412361685

• uber-archive/sql-differential-privacy

  Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.

  Language:Scala39431772

• lovedaybrooke/gender-decoder

  Language:CSS2469749

• zhuxinqimac/B-CNN

  Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.

  Language:Python546016

• redransil/plotly-dirgraph

  Tools for drawing directed network graphs using plotly

  Language:Python30236

• SAP/data-attribute-recommendation-python-sdk

  A client SDK for the Data Attribute Recommendation service on SAP Business Technology Platform (SAP BTP). Part of SAP AI Business Services.

  Language:Jupyter Notebook179435

• epicX67/indian_places

  A npm package to get all the recognized places of india including pincode

  Language:TypeScript11102

• ravimashru/notes

  A collection of my TIL notes and commonplace book entries.

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