victorji2002 Goto Github PK

2024s_qtm350_ps01

astock

Astock

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

econometrics-with-python

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

finnlp

Democratizing Internet-scale financial data.

finrl-meta

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

instock

抓取股票及ETF每日关键数据,计算各种指标,识别K线形态,内置多种选股策略,支持选股验证回测及自动交易，是量化投资工具。captures key daily data of stocks, calculates various stock indicators, K-line pattern recognition, has a variety of built-in stock selection strategies, stock selection verification back test, Automated Trading. quantitative investment tool.

llama3

The official Meta Llama 3 GitHub site

mage

Make It Move: Controllable Image-to-Video Generation with Text Descriptions

open-sora

Open-Sora: Democratizing Efficient Video Production for All

qstock

qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

qtm151spring2023

stable-diffusion

A latent text-to-image diffusion model

stock_analysis_basic

python 股票分析工具

stockgpt

Predict Stock movements with GPT-4 or GPT-3.5

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

video-chatgpt

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.