Stars
concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
The implementation of the IJCAI 2018 paper: Code Completion with Neural Attention and Pointer Networks
Collected solutions from Google Code Jam programming competition (2008-2021).
[ICSE 2021] - InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
eBPF-based Networking, Security, and Observability
Code snippets from the O'Reilly book
Secure and fast microVMs for serverless computing.
Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workl…
Kata Containers version 1.x runtime (for version 2.x see https://github.com/kata-containers/kata-containers).
Curated list of Go design patterns, recipes and idioms
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
🤗 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.
A Structured Self-attentive Sentence Embedding
AutoenCODE is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities.