x7jeon8gi

x7jeon8gi's Stars

• caozhiy/MATCC

  MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross_time Correlations

  Language:Python3110

• junhua/awesome-finance-ai-papers

  A collection and review of top CS conference papers in AI for Finance

  163

• gsyyysg/StockFormer

  PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

  Language:Python25262

• Robin-Guilliou/Option-Pricing

  Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).

  Language:Jupyter Notebook7317

• valeoai/Maskgit-pytorch

  unofficial MaskGIT reproduction in PyTorch

  Language:Jupyter Notebook18119

• mlech26l/ode-lstms

  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

  Language:Python11231

• minyoungg/vqtorch

  Language:Python12211

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.7k974

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k952

• jeongukjae/KR-BERT-SimCSE

  Implementing SimCSE using KR-BERT

  Language:Python307

• ML4ITS/TimeVQVAE

  [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

  Language:Jupyter Notebook12014

• dome272/MaskGIT-pytorch

  Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)

  Language:Python42035

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.6k743

• x7jeon8gi/FactorVAE

  PyTorch implementation of FactorVAE

  Language:Jupyter Notebook5613

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.3k1.3k

• IST-DASLab/gptq

  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

  Language:Python2k161

• hyunwoongko/kochat

  Opensource Korean chatbot framework

  Language:Python455185

• kwonminki/One-sentence_Diffusion_summary

  The repo for studying and sharing diffusion models.

  40736

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python722132

• rosinality/ml-papers

  My collection of machine learning papers

  27422

• ethanjperez/true_few_shot

  Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)

  Language:Python14212

• sooftware/luna-transformer

  A PyTorch Implementation of the Luna: Linear Unified Nested Attention

  Language:Python412

• seopbo/nlp_tutorials

  huggingface를 이용하여 downstream task 수행하기

  Language:Jupyter Notebook645

• kiyoungkim1/LMkor

  Pretrained Language Models for Korean

  Language:Jupyter Notebook39051

• eubinecto/the-clean-rnns

  A clean and structured implementation of the RNN family with wandb and pytorch-lightning

  Language:Python481

• eubinecto/the-clean-transformer

  A clean and structured implementation of Transformer with wandb and pytorch-lightning

  Language:Python7119

• ndb796/Deep-Learning-Paper-Review-and-Practice

  꼼꼼한 딥러닝 논문 리뷰와 코드 실습

  Language:Jupyter Notebook1.1k329

• metamath1/ml-simple-works

  Language:Jupyter Notebook4114

• ko-nlp/Korpora

  Korean corpus repository

  Language:Python70080

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2.1k468