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Morgan Stanley
- Shanghai
Stars
A toolkit for developing and comparing reinforcement learning algorithms.
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。
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…
A MNIST-like fashion product database. Benchmark 👇
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A flexible framework of neural networks for deep learning
Repository tracking all OpenStack repositories as submodules. Mirror of code maintained at opendev.org.
Collection of generative models in Tensorflow
Deep Convolutional Generative Adversarial Networks
TensorFlow (Python API) implementation of Neural Style
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Code for the paper "Improved Techniques for Training GANs"
Text to image synthesis using thought vectors
Implementation of recent Deep Learning papers
Chainer implementation of Deep Convolutional Generative Adversarial Network
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Generative Adversarial Text to Image Synthesis / Please Star -->
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…
A wizard's guide to Adversarial Autoencoders
Tensorflow implementation of 3D Generative Adversarial Network.
Visualization techniques for the latent space of a convolutional autoencoder in Keras
Deep Learning with TensorFlow by Packt
A deep generative model of 3D volumetric shapes