Pinned Repositories
iotdb-client-csharp
Apache IoTDB Client for C#
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Apache-IoTDB-Client-CSharp
C# client for Apache IoTDB
config-files
A collection of my config files.
CppGuide
C/C++学习，后端开发进阶指南。
flash-attention
Fast and memory-efficient exact attention
FlashModels
Fast and easy distributed model training examples.
xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
xla
Enabling PyTorch on XLA Devices (e.g. Google TPU)
MoE-Infinity
PyTorch library for cost-effective, fast and easy serving of MoE models.
lausannel's Repositories
lausannel/Apache-IoTDB-Client-CSharp
C# client for Apache IoTDB
lausannel/config-files
A collection of my config files.
lausannel/CppGuide
C/C++学习，后端开发进阶指南。
lausannel/flash-attention
Fast and memory-efficient exact attention
lausannel/FlashModels
Fast and easy distributed model training examples.
lausannel/gif-portal-starter
lausannel/hardhat-smartcontract-lottery
lausannel/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
lausannel/imagepi
树莓派上基于TensorFlow Lite的图像识别
lausannel/iotdb
Apache IoTDB
lausannel/iotdb-client-csharp
Apache IoTDB Client for C#
lausannel/nextjs-smartcontract-lottery
lausannel/NftMarket
lausannel/os
lausannel/simple-db-hw-2021
lausannel/Megatron-LM
Ongoing research training transformer models at scale
lausannel/MoE-Infinity
PyTorch library for cost-effective, fast and easy serving of MoE models.
lausannel/open-moe-llm-leaderboard
lausannel/scripts-and-confs
lausannel/Siren-fastai2
Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
lausannel/stablehlo
Backward compatible ML compute opset inspired by HLO/MHLO
lausannel/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
lausannel/torch-quiver
PyTorch Library for Fast and Easy Distributed Graph Learning
lausannel/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lausannel/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators