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
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…
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.
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"