The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.

对GPLearn完成了三维改造，并且增加了IC,IR,RankIC等指标，增加了样本内样本外的数据保存，增加了基于IC追踪所有generation中符合要求的因子并保存的功能。

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

OpenFE: automated feature generation with expert-level performance

第三方B站客户端，目前可以运行在PC全平台、PSVita、PS4 、Xbox 和 Nintendo Switch上

A curated list of awesome Sanic resources and extensions

Asynchronous HTTP client/server framework for asyncio and Python

A Python package for interacting with cTrader FIX API.

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-201…

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Hyperparameter Experiments with TensorFlow and Keras

This is a miniracer “Ray Stinger” based on K210. It can track the laser point and attack with a sting.

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.