Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering
Updated 2024-03-14 00:13:46 +03:00
Updated 2024-03-13 02:26:44 +03:00
Training LLMs with QLoRA + FSDP
Updated 2024-03-08 17:58:09 +03:00
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
machine-learning
nlp
pytorch
large-language-models
finance
chatgpt
reinforcement-learning
technical-analysis
sentiment-analysis
fintech
prompt-engineering
fingpt
robo-advisor
Updated 2024-02-15 23:10:01 +03:00
Updated 2024-02-13 00:59:43 +03:00
Hands-On Graph Neural Networks Using Python, published by Packt
Updated 2024-01-18 22:36:05 +03:00
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Updated 2024-01-14 16:32:03 +03:00
FinRL: Financial Reinforcement Learning. 🔥
algorithmic-trading
deep-reinforcement-learning
finance
fintech
openai-gym
pythorch
stock-markets
stock-trading
tensorflow2
trading-tasks
drl-algorithms
drl-framework
drl-trading-agents
multi-agent-learning
Updated 2024-01-13 19:53:22 +03:00
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Updated 2023-10-11 20:04:55 +03:00
DSPy: The framework for programming with foundation models
Updated 2023-09-08 00:12:24 +03:00
Examples and guides for using the OpenAI API
Updated 2023-08-25 00:47:39 +03:00
Updated 2023-06-17 21:44:01 +03:00
🔊 Text-Prompted Generative Audio Model
Updated 2023-05-15 21:52:33 +03:00
Updated 2023-02-12 20:18:03 +03:00
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
python
algorithmic-trading
quantitative-finance
finance
portfolio-optimization
efficient-frontier
financial-analysis
investing
covariance
investment-analysis
portfolio-management
investment
Updated 2022-11-27 18:02:41 +03:00
Updated 2022-08-09 21:52:15 +03:00
Updated 2022-06-19 19:35:14 +03:00
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
Updated 2022-05-11 23:09:25 +03:00
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as appli
machine-learning
deep-learning
data-science
data-visualization
data-analysis
feature-extraction
scikit-learn
data-scientists
feature-engineering
feature-scaling
feature-selection
features
data-mining
Updated 2022-05-07 18:26:02 +03:00
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
python
tutorials
earthengine
geospatial
gis
google-earth-engine
notebook
notebook-jupyter
remote-sensing
earth-engine
Updated 2022-05-07 18:24:50 +03:00