AI
人工智能、机器学习、深度学习与大模型相关项目
共 1659 个源码项目show_attend_and_tell.tensorflow
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distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Pavlov.js
Reinforcement learning using Markov Decision Processes. For JS, written in C++.
dl-translate
Library for translating between 200 languages. Built on 🤗 transformers.
kaggle-galaxies
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
DataFramesMeta.jl
Metaprogramming tools for DataFrames
fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector)
mlkit-material-android
ML Kit Showcase App with Material Design
mtcnn-caffe
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
neuralart_tensorflow
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
RNNLG
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
neural-vqa
:grey_question: Visual Question Answering in Torch
chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
PaperRobot
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
shell-genie
Your wishes are my commands
awesome-nlg
A curated list of resources dedicated to Natural Language Generation (NLG)
qtrader
Reinforcement Learning for Portfolio Management
visual-qa
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
ShenNong-TCM-LLM
Repo for ShenNong-TCM-LLM (“神农”大模型，首个中医药中文大模型)
TResNet
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
pynlpl
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
ekylibre
Open source Farm management Information System (FMIS) - Connecting farms to the world
MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
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