syuhei72 Goto Github PK

3d-gan-pytorch

Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

3dgan-release

3D Generative Adversarial Network

3dpcp_book_codes

詳解 3次元点群処理 Pythonによる基礎アルゴリズムの実装

64-3d-rasgan

RaSGAN 3D object generation

bert_nlp

YouTubeライブの講義「BERTによる自然言語処理を学ぼう!」、およびUdemyコース「BERTによる自然言語処理を学ぼう!」で使用する教材です。

building-gan

gan_sample

GANディープラーニング実装ハンドブック

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gasyori100knock

graph-of-thoughts

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

image_generation

YouTubeライブの講義「AIによる画像生成を学ぼう! 【VAE、GAN】」、およびUdemyコース「AIによる画像生成を学ぼう! 【VAE、GAN】」で使用する教材です。

jglue

JGLUE: Japanese General Language Understanding Evaluation

llama-recipes

Examples and recipes for Llama 2 model

llm-book

「大規模言語モデル入門」（技術評論社, 2023）のGitHubリポジトリ

minnano_ai

YouTubeのライブ講義「【Live!人工知能 】みんなのAI講座」、およびUdemyコース「みんなのAI講座」で使用する教材です。

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

panda-3d-gan-pytorch

PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.

plat

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

simple-pytorch-3dgan

A simple and unofficial 3D-GAN implementation using PyTorch [NeurIPS 2016]

sycophancy-intervention

Scripts for generating synthetic finetuning data for reducing sycophancy.

test

test