terencezl

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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jupyter-book

Create beautiful, publication-quality books and documents from computational content.

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CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

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serde

Serialization framework for Rust

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egui

egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native

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patterns

A catalogue of Rust design patterns, anti-patterns and idioms

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hnswlib-rs

Rust implementation of the HNSW algorithm (Malkov-Yashunin)

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concurrent-map

a thread-safe concurrent map for go

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flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

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composer

Supercharge Your Model Training

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ConvNeXt-V2

Code release for ConvNeXt V2 model

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triton

Development repository for the Triton language and compiler

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MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

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SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

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