Awesome C++
Section: Machine Learning · C and C++ library for training and inference ONNX models. ONNX is a standard that AI models can be converted into, regardless of the library they are trained with. [MIT] website
Entry
Appears in 5 awesome lists
C and C++ library for training and inference ONNX models. ONNX is a standard that AI models can be converted into, regardless of the library they are trained with. [MIT] website
Section: Machine Learning · C and C++ library for training and inference ONNX models. ONNX is a standard that AI models can be converted into, regardless of the library they are trained with. [MIT] website
Section: 1. Core Frameworks & Libraries · High-performance inference and training for ONNX models across hardware.
Section: Deployment and Serving · ONNX Runtime is a cross-platform inference and training machine-learning accelerator, supporting models from PyTorch, TensorFlow/Keras, scikit-learn, LightGBM and XGBoost.
Section: Runtimes · Holds the CPU provider's GEMM, int8 and int4 MatMul kernels, dispatched per ISA at run time from SSE to AMX and SME.
Section: Other · ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…