chengzchengzhan

ai-python

A collection of Python Packages for AI usecases

AML_Interpret_usecases

AML Interpret usecases demo

archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

AzureML-BERT

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

bingoset

🎲 CLI Toolkit to quickly create image dataset using Bing Image Search API

CS124-Algorithms-and-Data-Structures

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

DeepLearningExamples

Deep Learning Examples

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

chengzchengzhan/ai-python

A collection of Python Packages for AI usecases

chengzchengzhan/AML_Interpret_usecases

AML Interpret usecases demo

chengzchengzhan/archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

chengzchengzhan/AzureML-BERT

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

chengzchengzhan/bingoset

🎲 CLI Toolkit to quickly create image dataset using Bing Image Search API

chengzchengzhan/CS124-Algorithms-and-Data-Structures

chengzchengzhan/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

chengzchengzhan/DeepLearningExamples

Deep Learning Examples

chengzchengzhan/distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

chengzchengzhan/dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

chengzchengzhan/feast-azure

Azure plugins for Feast (FEAture STore)

chengzchengzhan/FLAML

A fast library for AutoML and tuning.

chengzchengzhan/mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

chengzchengzhan/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

chengzchengzhan/on-linux

chengzchengzhan/onnxruntime-training-examples

Examples for using ONNX Runtime for model training.

chengzchengzhan/pycls

Codebase for Image Classification Research, written in PyTorch.

chengzchengzhan/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

chengzchengzhan/recommenders

Best Practices on Recommendation Systems

chengzchengzhan/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

chengzchengzhan/seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

chengzchengzhan/snorkel

A system for quickly generating training data with weak supervision

chengzchengzhan/solution-accelerator-many-models

chengzchengzhan/Subsurface-Imaging-Using-GANs

Subsurface Imaging Using GANs

chengzchengzhan/SynapseML

Simple and Distributed Machine Learning