georgeshi-hub

georgeshi-hub's Stars

• yt-dlp/yt-dlp

  A feature-rich command-line audio/video downloader

  Language:Python92.9k7.3k

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook9.2k941

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k1.1k

• MaxRobinsonTheGreat/mandelbrotnn

  Torturing neural networks by forcing them to learn the Mandelbrot set.

  Language:Python13238

• sylvaticus/MITx_6.86x

  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

  Language:HTML300140

• openai/openai-python

  The official Python library for the OpenAI API

  Language:Python23.4k3.3k

• Bin-Huang/chatbox

  User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)

  Language:TypeScript23.8k2.4k

• blechturm/MITx_capstone_1

  This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam

  Language:TeX3830

• simonmonk/raspberrypi_cookbook_ed2

  The source code to accompany the SECOND EDITION of the book 'The Raspberry Pi Cookbook' by SImon Monk.

  Language:Python11275

• microsoft/iomt-fhir

  iomt-fhir

  Language:C#14667

• synthetichealth/synthea

  Synthetic Patient Population Simulator

  Language:Java2.2k660

• zephyrie/monai-gtc

  Language:Jupyter Notebook144

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.5k2.6k

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook484259

• davidechicco/cardiovascular_heart_disease

  cardiovascular_heart_disease

  Language:R3020

• YerevaNN/mimic3-benchmarks

  Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

  Language:Python810330

• 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

• google/fhir

  FHIR Protocol Buffers

  Language:C++843192

• dnackat/mitx-6.86x-machine-learning

  Python code written for MIT's Machine Learning course offered on edX

  Language:Python12387

• luoyuanlab/text_gcn_tutorial

  A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

  Language:Python273

• MIT-LCP/eicu-code

  Code and website related to the eICU Collaborative Research Database

  Language:Jupyter Notebook322217

• KellyHwong/MIT-ML

  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning

  Language:Jupyter Notebook1610

• HAIRLAB/Pre_Surv_COVID_19

  A machine learning-based model for survival prediction in COVID patients

  Language:Jupyter Notebook10142