mahdiabdollahpour

mahdiabdollahpour's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++68.5k5494.1k9.8k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50.6k5622074.9k

• reworkd/AgentGPT

  🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

  Language:TypeScript31.9k3004619.2k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.6k3422684.1k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.7k1544692.2k

• ray-project/llm-numbers

  Numbers every LLM developer should know

  4.1k5917141

• Farama-Foundation/chatarena

  ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

  Language:Python1.4k1923133

• openai/following-instructions-human-feedback

  1.2k1387142

• unitaryai/detoxify

  Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

  Language:Python9681563114

• randaller/llama-chat

  Chat with Meta's LLaMA models at home made easy

  Language:Python8361134117

• naver/splade

  SPLADE: sparse neural search (SIGIR21, SIGIR22)

  Language:Python784195086

• sebastian-hofstaetter/teaching

  Open-Source Information Retrieval Courses @ TU Wien

  Language:Python593181984

• microsoft/TOXIGEN

  This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.

  Language:Jupyter Notebook28382036

• sebastian-hofstaetter/matchmaker

  Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

  Language:Python26172430

• Sea-Snell/Implicit-Language-Q-Learning

  Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"

  Language:Python2006817

• allenai/real-toxicity-prompts

  Language:Jupyter Notebook19110725

• tomekkorbak/pretraining-with-human-feedback

  Code accompanying the paper Pretraining Language Models with Human Preferences

  Language:Python1776814

• mkshing/Prompt-Tuning

  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

  Language:Jupyter Notebook1613423

• Shark-NLP/CoNT

  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation

  Language:Python1504915

• randaller/llama-cpu

  Inference on CPU code for LLaMA models

  Language:Python1364418

• NohTow/PPL-MCTS

  Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22

  Language:Python64289

• amazon-science/masked-diffusion-lm

  Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"

  Language:Python52454

• epfl-dlab/understanding-decoding

  The data and the PyTorch implementation for the models and experiments in the paper "Language Model Decoding as Likelihood–Utility Alignment".

  Language:Python13403

• dardem/text_detoxification

  The page with all info about SOTA text detoxification models and datasets.

  12101

• sabithsn/APPDIA-Discourse-Style-Transfer

  Data and code for APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations (COLING 2022).

  Language:Python121

• google-research-datasets/cpcd

  The Conversational Playlist Creation Dataset (CPCD) contains 917 conversations between two people where users express preferences over sets of songs in natural language and wizards to elicit preferences from users. The dataset includes per-song ratings and can be used to design and evaluate conversational recommendation systems.

  Language:Python10313

• shallinan1/MarcoDetoxification

  Repository for "Detoxification with MaRCo: Controllable Revision with Experts and Anti-Experts"

  Language:Python8233

• D3Mlab/Recipe-MPR

  Language:Python6100

• D3Mlab/rir

  [ECIR 2023] Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval

  Language:Python3201

• hit-scma/CAT-PAW

  Language:Python3120