rlid

rlid's Stars

• QiuYannnn/Local-File-Organizer

  An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

  Language:Python1.6k105

• diegovelilla/reddit-nemesis

  Reddit-Nemesis is a Reddit bot that disagrees to any post, sparking debate and keeping conversations lively.

  Language:Python496

• rentruewang/bocoel

  Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

  Language:Python27118

• PontusHultkrantz/price-discovery

  Mid price estimation in LOB using Markov model

  Language:Jupyter Notebook101

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook30.3k3.6k

• nlmatics/nlm-ingestor

  This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.

  Language:Python1.1k157

• google-deepmind/pix2act

  Language:Python509

• sroecker/LLM_AppDev-HandsOn

  Repository and hands-on workshop on how to develop applications with local LLMs

  Language:Jupyter Notebook38967

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.1k2.5k

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.9k1.2k

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

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

  Language:Jupyter Notebook4.7k2k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k8.7k

• ageron/handson-ml3

  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 Notebook7.7k3.1k

• illustrated-machine-learning/illustrated-machine-learning.github.io

  Website containing illustrations about Machine Learning theory!

  Language:JavaScript59862

• leemunroe/responsive-html-email-template

  A free simple responsive HTML email template

  Language:HTML13.3k4.4k

• miguelgrinberg/Flask-SocketIO

  Socket.IO integration for Flask applications.

  Language:Python5.4k891

• miguelgrinberg/flask-sock

  Modern WebSocket support for Flask.

  Language:Python28423

• lepture/authlib

  The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.

  Language:Python4.6k452

• mrdbourke/machine-learning-roadmap

  A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

  7.5k1.2k

• Dhghomon/easy_rust

  Rust explained using easy English

  Language:Shell8.1k381