Popular GitHub Repositories for Big Bird

Making large AI models cheaper, faster and more accessible

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

PredictionIO, a machine learning server for developers and ML engineers.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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.

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

AI + Data, online. https://vespa.ai

The Open Source Feature Store for AI/ML

Simple and Distributed Machine Learning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

? ? ? ? GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase

Bare bone examples of machine learning in TensorFlow

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Find big moving stocks before they move using machine learning and anomaly detection

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.