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Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
This is a repo with links to everything you'd ever want to learn about data engineering
A simple screen parsing tool towards pure vision based GUI agent
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A guidance language for controlling large language models.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
FinRL®: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Official inference library for Mistral models
Python toolkit for quantitative finance
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
CoreNet: A library for training deep neural networks
The fastest way to create an HTML app
Official Code for Stable Cascade
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
A collection of examples that show how to use CrewAI framework to automate workflows.
Probabilistic reasoning and statistical analysis in TensorFlow
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Automatic Generation of Visualizations and Infographics using Large Language Models
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
A clear, concise, simple yet powerful and efficient API for deep learning.