pragneshrana

pragneshrana's Stars

• warpdotdev/Warp

  Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.

  21.8k383

• niderhoff/nlp-datasets

  Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

  5.8k967

• run-llama/llama_docs_bot

  Bottoms Up Development with LlamaIndex - Building a Documentation Chatbot

  Language:Jupyter Notebook16151

• cookpete/react-player

  A React component for playing a variety of URLs, including file paths, YouTube, Facebook, Twitch, SoundCloud, Streamable, Vimeo, Wistia and DailyMotion

  Language:JavaScript9.5k1.2k

• aakashagarwal778/optionpricing_toolkit_python_package

  Language:Jupyter Notebook115

• mitre-atlas/ai-risk-database

  Explore AI Supply Chain Risk with the AI Risk Database

  Language:Python512

• tylerprogramming/autogen-beginner-course

  Language:Python6728

• alyshapm/ta-public

  Language:JavaScript1

• chhpt/nextjs-starter

  A TypeScript starter for Next.js that includes all you need to build amazing projects 🔥

  Language:TypeScript12727

• TheAILearner/Langchain-Agents

  Langchain Agents

  Language:Jupyter Notebook1916

• microsoft/autogen

  A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

  Language:Jupyter Notebook36.8k5.3k

• JorisdeJong123/LangChain-Cheatsheet

  Easy to use code snippets for LangChain

  Language:Python15313

• kevinzg/facebook-scraper

  Scrape Facebook public pages without an API key

  Language:Python2.5k636

• melisa-writer/short-transformers

  Prune transformer layers

  Language:Python6710

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#22.5k3.4k

• voidism/DoLa

  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

  Language:Python44958

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python3.2k397

• stoyan-stoyanov/llmflows

  LLMFlows - Simple, Explicit and Transparent LLM Apps

  Language:Python67635

• FrancescoCasalegno/AB-Testing

  A/B Testing — A complete guide to statistical testing

  Language:Jupyter Notebook16298

• gregversteeg/corex_topic

  Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

  Language:Python628120

• ProsusAI/finBERT

  Financial Sentiment Analysis with BERT

  Language:Jupyter Notebook1.5k423

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python20.7k1.6k

• wendykan/DeepLearningMovies

  Kaggle's competition for using Google's word2vec package for sentiment analysis

  Language:Python624538

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.9k2.6k

• aws/amazon-sagemaker-examples

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

  Language:Jupyter Notebook10.2k6.8k

• OpenBB-finance/OpenBB

  Investment Research for Everyone, Everywhere.

  Language:Python34.7k3.2k

• Mael-J/mstarpy

  python package to get financial data from Morningstar

  Language:Python293

• salesforce/PyRCA

  PyRCA: A Python Machine Learning Library for Root Cause Analysis

  Language:Python44645

• ritvikmath/Time-Series-Analysis

  code and data for the time series analysis vids on my YouTube channel

  Language:Jupyter Notebook688676

• NayakwadiS/Forecasting_Mutual_Funds

  ⚡ This Project gives you an overall idea for Forecasting Mutual Funds

  Language:Python5731