Search results

(cheaper PDF version) provides AI-assisted learning, courses, tutorials, or study support.

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

Make tiny self-contained web apps with AI. Post on r/BerrryComputer to get started. Advanced editing, version control, and export features included.

ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.

Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.

Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.

Data Version Control - Git for Data & Models - ML Experiments Management.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Version control for machine learning with support to Amazon S3 and Google Cloud Storage.

Repeatable, atomic and versioned data lake on top of object storage.

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

Version and deploy your ML models following GitOps principles.

Open source ML model versioning, metadata, and experiment management.

Pachyderm is a version control system for data.

Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.

A better version of Jieba, developed by Peking University.

TruLens instruments your AI agent with OpenTelemetry, scores every step with benchmarked LLM judges, and tells you which version to ship.

USE BAZEL VERSION=5.0.0./bazelisk-linux-amd64 build wavegru mod -c opt --copt=-march=native.