SGLang is a high-performance serving framework for large language models and multimodal models.
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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.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
Open Machine Learning Compiler Framework
- compiler
- tensor
- deep-learning
- gpu
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A collection of libraries to optimise AI model performances
High-performance TensorFlow library for quantitative finance.
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
- opencv
- multithreading
- python
- video-processing
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management