Pinned Repositories
analytics-zoo
Deep learning powered big data analytics using BigDL on Apache Spark
C3_ASSIGNMENT_1
The programming assignment of Coursera's Cloud Computing Concepts Part 1
ipex-llm
BigDL: Distributed Deep Learning Library for Apache Spark
testanalyticszoo
yangw1234's Repositories
yangw1234/analytics-zoo
Deep learning powered big data analytics using BigDL on Apache Spark
yangw1234/ipex-llm
BigDL: Distributed Deep Learning Library for Apache Spark
yangw1234/ai-matrix
To make it easy to benchmark AI accelerators
yangw1234/ARMemNet
yangw1234/ARMemNet-BigDL
yangw1234/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
yangw1234/az_solution_doc
yangw1234/BigDL-Tutorials-1
A step-by-step introduction to data science based on Apache Spark and BigDL framework
yangw1234/bloomz.cpp
C++ implementation for BLOOM
yangw1234/chineseocr
yolo3+ocr
yangw1234/cnn_lstm_bot
yangw1234/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
yangw1234/distributed_tf_comparision
yangw1234/ggml-python
Python bindings for the ggml
yangw1234/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
yangw1234/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
yangw1234/jemalloc
yangw1234/keras
Deep Learning for humans
yangw1234/models
Models and examples built with TensorFlow
yangw1234/models-1
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
yangw1234/modin
Modin: Speed up your Pandas workflows by changing a single line of code
yangw1234/modulepickle
Extends cloudpickle to dynamically pickle modules from your working directory
yangw1234/optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
yangw1234/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
yangw1234/pillow-simd
The friendly PIL fork
yangw1234/shanghai-ai-conference
yangw1234/tensorflow
An Open Source Machine Learning Framework for Everyone
yangw1234/tianchi_spines2020
Spark“数字人体”AI挑战赛 ——脊柱疾病智能诊断大赛baseline
yangw1234/vqpy
An object-oriented Video Query Language
yangw1234/zoo-tutorials
Tutorials for Analytics Zoo