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
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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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
A scikit-learn compatible neural network library that wraps PyTorch
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
Performance analysis of predictive (alpha) stock factors
Bayesian optimization in PyTorch
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
- mimic-iii
- critical-care
- icu
- physionet
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
A Python library for introductory data science