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A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.

Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.

Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation) provides machine-learning models, research, training resources, or evaluation…

Expert-level artwork analysis powered by Microsoft Phi-3.5-Vision and SmolAgent Framework.

Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce.

Machine Learning made beautifully simple for everyone. Take your business to the next level with the Machine Learning platform.

A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.

OS-agnostic, system-level binary package manager and ecosystem.

A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.

A high-level machine learning library in the vein of Keras.

Imagen by Google is a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.

Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.

GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

Optimized Stable Diffusion modified to run on lower GPU VRAM.

An awesome list of low- and no-code generative AI resources.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Gestell studies PTX, SASS, compiler lowering, and GPU execution behavior.

Fast and convenient feature processing for low latency machine learning in Go.

A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.

Using Low-rank adaptation to quickly fine-tune diffusion models.

A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.