Popular GitHub Repositories for Big Bang Theory

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.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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.

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

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

The Open Source Feature Store for AI/ML

Simple and Distributed Machine Learning

Fast and flexible AutoML with learning guarantees.

? ? ? ? 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.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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

Datasets, tools, and benchmarks for representation learning of code.

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)

Artificial intelligence for the Snake game.