18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
Repository Index
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Simple tutorials using Google's TensorFlow Framework
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Various Jupyter notebooks about Common Crawl data
- jupyter-notebook
- common-crawl
- aws-athena
- webarchiving
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
- ios
- coreml
- coreml-framework
- swift