Starred repositories
yuanzhoulvpi2017 / nano_rl
Forked from verl-project/verl在verl上做reward的定制开发
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
LLM Council works together to answer your hardest questions
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Official implementation of AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration (https://arxiv.org/abs/2509.25055).
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
AFAC2025挑战组-赛题三：金融领域中的长思维链压缩-冠军（第一名）解决方案
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
Retrieval and Retrieval-augmented LLMs
[ACL 2021-Findings] Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading."
[ACL2023] Datasets for Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Implement a reasoning LLM in PyTorch from scratch, step by step
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Knowledge Distillation
Pytorch implementation of various Knowledge Distillation (KD) methods.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!
Open-source implementation of AlphaEvolve
Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.