Stars
An implementation of differential dataflow using timely dataflow on Rust.
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 comp…
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous progra…
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Port of OpenAI's Whisper model in C/C++
A General-purpose Task-parallel Programming System in C++
Python SYCL bindings and SYCL-based Python Array API library
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum hardware and classical simulators