isofun's Stars
ggerganov/llama.cpp
LLM inference in C/C++
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
karpathy/llm.c
LLM training in simple, raw C/CUDA
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
shengcaishizhan/kkndme_tianya
天涯 kkndme 神贴聊房价
ymcui/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
triton-lang/triton
Development repository for the Triton language and compiler
microsoft/BitNet
Official inference framework for 1-bit LLMs
meta-llama/llama-models
Utilities intended for use with Llama models.
modelscope/data-juicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
google-research/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
webdataset/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
CyberZHG/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
tech-shrimp/docker_image_pusher
使用Github Action将国外的Docker镜像转存到阿里云私有仓库,供国内服务器使用,免费易用
huggingface/nanotron
Minimalistic large language model 3D-parallelism training
Farama-Foundation/D4RL
A collection of reference environments for offline reinforcement learning
facebookresearch/generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
redotvideo/mamba-chat
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
aviralkumar2907/CQL
Code for conservative Q-learning
Atomic-man007/Awesome_Multimodel_LLM
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
stasi009/PracticalGuidetoRecSys
《互联网大厂推荐算法实战》资料库
wbrickner/noise_step
noise_step: Training in 1.58b With No Gradient Memory
westlake-repl/MicroLens
A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).
polixir/NeoRL
Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
orobix/fwdgrad
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
podgorskiy/DareBlopy
Data Reading Blocks for Python
westlake-repl/NineRec
Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
wallEVA96/algorithm
ZSCDumin/causal-inference-books
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