dogrush's Stars
ggerganov/llama.cpp
LLM inference in C/C++
PKUFlyingPig/cs-self-learning
计算机自学指南
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
meta-llama/llama3
The official Meta Llama 3 GitHub site
state-spaces/mamba
Mamba SSM architecture
chenzomi12/AISystem
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
THUDM/GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
openmlsys/openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
secretflow/secretflow
A unified framework for privacy-preserving data analysis and machine learning
TigerResearch/TigerBot
TigerBot: A multi-language multi-task LLM
codefuse-ai/Awesome-Code-LLM
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
harvard-edge/cs249r_book
Introduction to Machine Learning Systems
ToniRV/NeRF-SLAM
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276
zchoi/Awesome-Embodied-Agent-with-LLMs
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
AIoT-MLSys-Lab/Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A Survey
kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
openfheorg/openfhe-development
This is the development repository for the OpenFHE library. The current (stable) version is v1.2.3 (released on October 30, 2024).
alibaba/TinyNeuralNetwork
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
MegEngine/InferLLM
a lightweight LLM model inference framework
intelligent-machine-learning/glake
GLake: optimizing GPU memory management and IO transmission.
Infini-AI-Lab/TriForce
[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
BUAA-CI-LAB/Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
neurosim/DNN_NeuroSim_V2.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
KULeuven-MICAS/zigzag
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
mit-emze/cimloop
BUAA-CI-LAB/Literatures-on-SRAM-based-CIM
A reading list for SRAM-based Compute-In-Memory (CIM) research.
TianjinYellow/EdgeDeviceLLMCompetition-Starting-Kit
thunlp/EmbodiedAIxLLMPapers
Papers on integrating large language models with embodied AI
BUAA-CI-LAB/BHLA.README
BUAA-CI-LAB/eula-env