Repository Index

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

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

Playing Pokemon Red with Reinforcement Learning

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.

• h2o
• machine-learning
• data-science
• deep-learning

Flax is a neural network library for JAX that is designed for flexibility.

• jax

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

• scikit-learn
• pytorch
• machine-learning
• huggingface

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

The Hunting ELK

• hunting
• elasticsearch
• kibana
• logstash

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

• webgpu
• deep-learning
• stable-diffusion
• web-assembly

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

• mimic-iii
• critical-care
• icu
• physionet

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

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

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

• high-frequency-trading
• limit-order-book
• python
• machine-learning