iLeGend's starred repositories
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
paper-reading
深度学习经典、新论文逐段精读
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ostep-translations
Various translations of OSTEP can be found here. Help the cause and contribute!
ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
PLCT-Open-Reports
PLCT实验室的公开演讲,或者决定公开的组内报告
oneAPI-samples
Samples for Intel® oneAPI Toolkits
data-parallel-CPP
Source code for 'Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL' by James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian (Apress, 2020).
Model-References
Reference models for Intel(R) Gaudi(R) AI Accelerator
intel-extension-for-deepspeed
Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note XPU is already supported in stock DeepSpeed (upstream).
CTC-loss-introduction
介绍ctc算法原理以及numpy简单实现
exploring_the_limits_of_OOD_detection
Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanislav Fort, Jie Ren, Balaji Lakshminarayanan, published at NeurIPS 2021.
PyTorch-Conference-notes
有关 PyTorch Conference 的全会议中文转录摘要,结构化笔记