m0re4u

m0re4u's Stars

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust36.7k1042.8k992

• facefusion/facefusion

  Industry leading face manipulation platform

  Language:Python20.9k19003.2k

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.6k1528161.7k

• bentoml/OpenLLM

  Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.

  Language:Python10.4k56271658

• antimatter15/alpaca.cpp

  Locally run an Instruction-Tuned Chat-Style LLM

  Language:C10.2k103188906

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.2k971.5k941

• shawwn/llama-dl

  High-speed download of LLaMA, Facebook's 65B parameter GPT model

  Language:Shell4.2k6815417

• catppuccin/tmux

  💽 Soothing pastel theme for Tmux

  Language:Shell2.1k9201648

• EliverLara/terminator-themes

  :metal: The biggest collection of themes for Terminator terminal.

  Language:JavaScript1.2k1538101

• huggingface/lighteval

  Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

  Language:Python96029179117

• randaller/llama-chat

  Chat with Meta's LLaMA models at home made easy

  Language:Python8361134117

• stoyan-stoyanov/llmflows

  LLMFlows - Simple, Explicit and Transparent LLM Apps

  Language:Python676123935

• webis-de/small-text

  Active Learning for Text Classification in Python

  Language:Python606246266

• koaning/bulk

  A Simple Bulk Labelling Tool

  Language:Python560104147

• mlcommons/croissant

  Croissant is a high-level format for machine learning datasets that brings together four rich layers.

  Language:Python4842224445

• shawwn/llama

  Inference code for LLaMA models

  Language:Python18810039

• gautierdag/bpeasy

  Fast bare-bones BPE for modern tokenizer training

  Language:Python141233

• UKPLab/5pils

  Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.

  Language:Python35704

• weigq/openview_quicklook

  Language:JavaScript30240

• google-deepmind/habermas_machine

  Language:Python29805

• IBM/debater-eap-tutorial

  Project Debater Early Access Program Tutorial

  Language:Jupyter Notebook221007

• Yixuan423/FakeBench

  The released data for the paper entilted "FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models"

  Language:Python200

• idiap/News-Media-Reliability

  Reliability Estimation of News Media Sources: Birds of a Feather Flock Together

  Language:HTML5310

• jonathan-gerb/flexconv

  FlexConv Pytorch Implementation with additional modules

  Language:Python5100

• selBaez/graph-based-hs-cn

  Exploring the usage of episodic knowledge graphs to create Counter-narratives (CN) for Hate Speech (HS)

  Language:HTML3100

• leolani/leolani-mmai-parent

  Leolani application for MMAI workshop

  Language:Dockerfile2201

• tae898/llama

  Playing with huggingface llama

  Language:Jupyter Notebook2

• IBM/debater-early-access-program-sdk

  Python SDK for the Debate Early Access Program

  Language:Python1501

• m0re4u/acal-subjective

  Language:Python1

• patarzynak/beyond-aspectual-class

  Language:Jupyter Notebook110