AI

人工智能、机器学习、深度学习与大模型相关项目

共 1368 个源码项目

BayLing

“百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型，具有优越的英语/中文能力，在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.

31618PythonGPL-3.0

Pyevolve

316109Python

Parris

Parris, the automated infrastructure setup tool for machine learning algorithms.

31423PythonNOASSERTION

StarWhisper

LLM for Astronomy[星语4.0]

31416Jupyter NotebookApache-2.0

gekkoga

Genetic Algorithm for solving optimization of trading strategies using Gekko

312100JavaScript

liblinear-java

Java version of LIBLINEAR

310139JavaBSD-3-Clause

chat-gpt-jupyter-extension

A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.

30755TypeScriptGPL-3.0

tensorflex

Tensorflow bindings for the Elixir programming language :muscle:

30715CApache-2.0

Brayns

Visualizer for large-scale and interactive ray-tracing of neurons

30547C++LGPL-3.0

XGBoost.jl

XGBoost Julia Package

305109JuliaNOASSERTION

paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

30336FortranNOASSERTION

tensorflow_fasttext

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

30390PythonMIT

node-svm

Support Vector Machines for nodejs

30146JavaScriptMIT

lda

LDA topic modeling for node.js

29447JavaScriptApache-2.0

knowledge-gpt

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

29052PythonMIT

mol2vec

Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures

289122PythonBSD-3-Clause

datakit

A lightweight framework for data analysis in JavaScript.

28711JavaScript

AutomatedStockTrading-DeepQ-Learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

28678Jupyter NotebookMIT