Sheng Zha

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

Just-in-time Dynamic Batching with MXNet Gluon.

AutoGluon: AutoML Toolkit for Deep Learning

A 60min Gluon crash course

Test suite for the PyData Array APIs standard

Scoreboard for ONNX Backend Compatibility

NLP made easy

Open deep learning compiler stack for cpu, gpu and specialized accelerators

通过MXNet/Gluon来动手学习深度学习

Better Harness Tools, not merely storing the archive of leaked Claude Code but also make shit things done. Featured in Wall Street Journal

AI agents running research on single-GPU nanochat training automatically

The ultimate Vim configuration: vimrc

Markdown <=> IPython Notebook

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

OpenAI-Compatible RESTful APIs for Amazon Bedrock

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Production repository for the all-new Advantage360 Professional using ZMK engine

oneAPI Specification source files

🙃 A delightful community-driven (with 2,200+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

Unsupervised text tokenizer for Neural Network-based text generation.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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

GluonTS - Probabilistic Time Series Modeling in Python

A Jekyll version of the "Hyperspace" theme by HTML5 UP.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Notes and artifacts from the ONNX steering committee

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

ONNX-TensorRT: TensorRT backend for ONNX

Repository for ONNX working group artifacts

Repository for ONNX SIG artifacts

No description.

Material Design Html Theme for Sphinx.

Open standard for machine learning interoperability

Convert scikit-learn models and pipelines to ONNX

Convert TensorFlow models to ONNX

Convert tf.keras/Keras models to ONNX

ONNXMLTools enables conversion of models to ONNX

Actively maintained ONNX Optimizer

Dockerfiles and scripts for ONNX container images

A collection of pre-trained, state-of-the-art models in the ONNX format

Tutorials for creating and using ONNX models

A lightweight parameter server interface

A tool for generating the MXNet newsletter's detailed statistics. Adapted from jroesch/gh-news

NLTK Source

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A high performance and generic framework for distributed DNN training

Books with Jupyter notebooks

Apache MXNet Examples

RFC for common in-memory tensor structure and operator interface for deep learning system

TensorLy: Tensor Learning in Python.

A collaborative platform for reproducible research (web interface and CLI).

Continuous Integration and other infrastructure code that serves Apache MXNet incubating. This repository is not intended for end-users.

scikit-learn: machine learning in Python

No description.

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

No description.

KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond

Python package built to ease deep learning on graph, on top of existing DL frameworks.

The repo to host all the web data including images for documents in dmlc projects.

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

https://beta.mxnet.io/

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

A list of Neural MT implementations

Linear chain conditional random fields are implemented using Numpy and Mxnet/Gluon, and batch training is supported, not limited to training the data one by one.

An interactive book on deep learning, in concept and in MXNet

Gluon CV Toolkit

An experimental implementation of biaffine parser using MXNet

Apache MXNet Site

使用MXNet的动态图接口Gluon实现Char RNN生成古诗和周杰伦的歌词

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Intermediate Computational Graph Representation for Deep Learning Systems

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning