iikira/BaiduPCS-Go原版基础上集成了分享链接/秒传链接转存功能

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

FinRL: Financial Reinforcement Learning. 🔥

Slides and other materials from CppCon 2020

A toolkit for developing and comparing reinforcement learning algorithms.

Hands-On Machine Learning for Algorithmic Trading, published by Packt

The QuantLib C++ library

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Tutorials for DataCamp (www.datacamp.com)

An Open Source Machine Learning Framework for Everyone

Text to image synthesis using thought vectors

A MNIST-like fashion product database. Benchmark 👇

Collection of generative models in Tensorflow

A wizard's guide to Adversarial Autoencoders

Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Implementation of recent Deep Learning papers

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

VAE-GAN in Tensorflow

A deep generative model of 3D volumetric shapes

Tensorflow implementation of 3D Generative Adversarial Network.

3D Generative Adversarial Network

Multi-style Generative Network for Real-time Transfer

TensorFlow (Python API) implementation of Neural Style

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

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