gystar

asm2vec-pytorch

Unofficial implementation of asm2vec using pytorch ( with GPU acceleration )

bazel_llvm

LLVM libraries and binaries for bazel

CLCDSA

CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation

code_transformers

Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

CodeGen

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

CodeT5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

concrete

Concrete: TFHE Compiler that converts python programs into FHE equivalent

devign_lab

HelloRust

从0开始学习Rust

LLVMExploration

gystar/devign_lab

gystar/LLVMExploration

gystar/asm2vec-pytorch

Unofficial implementation of asm2vec using pytorch ( with GPU acceleration )

gystar/CLCDSA

CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation

gystar/code_transformers

Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

gystar/CodeGen

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

gystar/CodeT5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

gystar/concrete

Concrete: TFHE Compiler that converts python programs into FHE equivalent

gystar/deepvsa

gystar/DeepWukong

gystar/devign

gystar/cv_data_pipeline

gystar/dnn-binary-code-similarity

gystar/EasyLM

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

gystar/EKLAVYA

gystar/G2SC

gystar/LLM_Tutorial2023

gystar/mbrl

gystar/MPCFormer

(ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC

gystar/OSCAR

Code for ICML 2021 paper: How could Neural Networks understand Programs?

gystar/PlaNet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

gystar/Private-LLM-Inference

gystar/ProGraML

Graph-based Program Representation & Models for Deep Learning

gystar/pyenv

Simple Python version management

gystar/pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

gystar/spu

SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

gystar/TransCoder

Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

gystar/V8-RVV

RISC-V Vector Support in V8

gystar/VulnerabilityDetectionResearch

VulnerabilityDetectionResearch

gystar/zsh-autosuggestions

Fish-like autosuggestions for zsh