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bert

TensorFlow code and pre-trained models for BERT

bigpython

업무자동화와 데이터 분석을 보다 편리하게 수행할 수 있는 파이썬 패키지

concurrency

cpython

The Python programming language

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

diffusion

Denoising Diffusion Probabilistic Models

game-physics

keras

Deep Learning for humans

keras-adversarial

Keras Generative Adversarial Networks

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

khaiii

Kakao Hangul Analyzer III

learn-bigpy

빅파이: 빅데이터를 위한 파이썬 실습 코드와 예시 데이터

learn-nodejs

객체지향 자바스크립트와 Node.js

learn-pyautomate

업무자동화를 위한 파이썬

learn-python

파이썬 튜토리얼 - (c) 코드베이직 2013-2016

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

nltk

NLTK Source

onlinepythontutor

Visualize Python, Java, JavaScript, TypeScript, Ruby, C, and C++ code execution in your Web browser

pdfminer

PDF Parser : fork with Python 2+3 support using six

pix2vox

Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)

pix3d

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

pyautogui

A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.

pyautomate

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydeep-environments

pyko

Korean Text Processing using Python

pyml-environment

기계학습을 위한 파이썬 환경 설정

scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

segment_anything_keras

A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0