Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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Automatic Generation of Visualizations and Infographics using Large Language Models
- datavisualization
- llm
- openai
- visualization
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- python
- machine-learning
- explainability
- explainable-ml
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
- deep-learning
- tutorials
- uvadlc
- pytorch
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
A python library for decision tree visualization and model interpretation.
A high performance implementation of HDBSCAN clustering.
- machine-learning
- machine-learning-algorithms
- clustering
- clustering-algorithm
NMA Computational Neuroscience course
- neuroscience
- machine-learning
- dynamic-systems
- stochastic-processes
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
- interactive-segmentation
- segment-anything
- segment-anything-model
- video-object-segmentation
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
- cypher
- data-analysis
- graph-database
- neo4j
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
- agents
- ai-systems
- fine-tuning
- llm
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
- pandas
- numpy
- python
- data-analysis
Optimized Stable Diffusion modified to run on lower GPU VRAM
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
We are building an open database of COVID-19 cases with chest X-ray or CT images.
- covid-19
- deep-learning
- computer-vision
- dataset
HuggingLLM, Hugging Future.
Free hands-on digital forensics labs for students and faculty
- cybersecurity
- digital
- education
- forensics
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
- ai
- jupyter-notebook
- llm
- python
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Keras documentation, hosted live at keras.io
[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