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3dunet_abdomen_cascade

ai-software-startups

A Survey of AI startups

awesome-llm-inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bigdatabench-spark

BigDataBench Spark workloads

bigdl

BigDL: Distributed Deep learning Library for Apache Spark

bigdl-core

Core HW bindings and optimizations for BigDL

blog

Some notes on things I find interesting and important.

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffeonspark

crf

ConditionalRandomField

crf-spark

A Spark-based implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data

db-readings

Readings in Databases

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearningbook

MIT Deep Learning Book in PDF format

deepspeed

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

distml

DistML provide a supplement to mllib to support model-parallel on Spark

distserve

Disaggregated serving system for Large Language Models (LLMs).

fastertransformer

Transformer related optimization, including BERT, GPT

fm-spark

fm-spark-1

glint

Glint: High performance scala parameter server

glint-fm

Factorization Machines on Spark and Glint

hibench

HiBench is a big data benchmark suite.

imllib-spark

inference

Reference implementations of inference benchmarks

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021 (Best paper award).

learning-rspark

libfm

Library for factorization machines

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.