Stars
This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price for…
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 fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Code for Machine Learning for Algorithmic Trading, 2nd edition.
FinRL-Meta: Dynamic datasets and market environments for FinRL.
FinRL: Financial Reinforcement Learning. 🔥
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A toolkit for developing and comparing reinforcement learning algorithms.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
Simple samples for TensorRT programming
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.
Transformer related optimization, including BERT, GPT
Multispectral Object Detection with Yolov5 and Transformer
Fast Inference Solutions for BLOOM
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
deep learning for image processing including classification and object-detection etc.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
An annotated implementation of the Transformer paper.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Seg…