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Jake Lee's Projects

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 easy, efficient, and effective.

djl icon djl

An Engine-Agnostic Deep Learning Framework

dmlc-core icon dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

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

java icon java

Java bindings for TensorFlow

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

msp9th icon msp9th

Microsoft Students Partner (微軟學生大使) 10th 的招生網站

mxnet-model-server icon mxnet-model-server

Model Server for Apache MXNet is a tool for serving neural net models for inference

nccl icon nccl

Optimized primitives for collective multi-GPU communication

nemo icon nemo

NeMo: a toolkit for conversational AI

neo-ai-dlr icon neo-ai-dlr

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

numpy icon numpy

The fundamental package for scientific computing with Python.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

smddp-examples icon smddp-examples

Repository for Forked Deep Learning Examples Used in SageMaker Data Distributed Training

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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