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Qing Lan's Projects

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

d2l-java icon d2l-java

The Java implementation of Dive into Deep Learning (D2L.ai)

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

djl icon djl

An Engine-Agnostic Deep Learning Framework

gym- icon gym-

gym for database course

ijava icon ijava

A Jupyter kernel for executing Java code.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kmcuda icon kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

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