whitepurple's Stars
hiyouga/LLaMA-Factory
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
dingo-actual/infini-transformer
PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)
instructkr/LogicKor
한국어 언어모델 다분야 사고력 벤치마크
ShannonAI/service-streamer
Boosting your Web Services of Deep Learning Applications.
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Lightning-AI/deep-learning-project-template
Pytorch Lightning code guideline for conferences
kimhagyeong/Lab_exhibition_project
#30주년과제 #전시 #웹 #프론트엔드 #KOREATECH30TH X DICE LAB #AI Photographer #only for 1920*1080
EleutherAI/knowledge-neurons
A library for finding knowledge neurons in pretrained transformer models.
yanaiela/pararel
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
shreyashankar/gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
MarkusAI/rA9
JAX-based Spiking Neural Network framework
seopbo/nlp_classification
Implementing nlp papers relevant to classification with PyTorch, gluonnlp