peiyong-addwater's Stars
ggerganov/llama.cpp
LLM inference in C/C++
karpathy/LLM101n
LLM101n: Let's build a Storyteller
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
assafelovic/gpt-researcher
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
FoundationVision/VAR
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
agiresearch/AIOS
AIOS: AI Agent Operating System
langchain-ai/rag-from-scratch
openworm/OpenWorm
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
mintisan/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Paitesanshi/LLM-Agent-Survey
togethercomputer/MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
AnswerDotAI/fsdp_qlora
Training LLMs with QLoRA + FSDP
Ma-Lab-Berkeley/CRATE
Code for CRATE (Coding RAte reduction TransformEr).
yoheinakajima/mindgraph
proof of concept prototype for generating and querying against an ever-expanding knowledge graph with ai
AntonioTepsich/Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
kyegomez/awesome-multi-agent-papers
A compilation of the best multi-agent papers
ulab-uiuc/AGI-survey
ReactiveBayes/RxInfer.jl
Julia package for automated Bayesian inference on a factor graph with reactive message passing
rese1f/Awesome-VQVAE
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
pg2455/KAN-Tutorial
Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
OSU-NLP-Group/GrokkedTransformer
Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'
ai8hyf/OpenResearchAssistant
An automated tool for discovering insights from research papaer corpora
QuEraComputing/QRC-tutorials
A set of tutorials for quantum reservoir learning.
GGorMM1/QIREN
This repo contains the code that was used in the paper "Quantum Implicit Neural Representations".
CQCL/Quixer
Lucky-Lance/QAS-Bench
[ICML 2023] QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
nicomeyer96/qiskit-torch-module
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks.
CQCL/concepts-vae
Concepts VAE