Popular GitHub Repositories for Cache Statistics

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Statistical Machine Intelligence & Learning Engine

Supercharge Your LLM with the Fastest KV Cache Layer

? Online machine learning in Python

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

Scalable Multi-modal RAG platform

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.