Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
- machine-learning
- jupyter-notebook
- python
- python3
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- python
- machine-learning
- explainability
- explainable-ml
Massively parallel rigidbody physics simulation on accelerator hardware.
📚 Jupyter notebook tutorials for OpenVINO™
- deep-learning
- machine-learning
- computer-vision
- openvino
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
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
- python
- programming
- learning-exercise
- python-programming-exercises
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
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:
We are building an open database of COVID-19 cases with chest X-ray or CT images.
- covid-19
- deep-learning
- computer-vision
- dataset
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
The Python Code Tutorials
- python
- python3
- scapy
- ethical-hacking
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The hub for EleutherAI's work on interpretability and learning dynamics
Open Content for self-directed learning in data science
Introduction to Deep Neural Networks with Keras and Tensorflow
- tensorflow
- python
- tutorial
- deep-learning
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
- artificial-intelligence
- efficient
- knowledge-editing
- large-language-models