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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

analytics-zoo

Deep learning powered big data analytics using BigDL on Apache Spark

auto-sklearn

Automated Machine Learning with scikit-learn

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bigdl

BigDL: Distributed Deep learning Library for Apache Spark

bigdl-core

Core HW bindings and optimizations for BigDL

bigdl-project.github.io

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.

caffe-tensorflow

Caffe models in TensorFlow

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deepspeech2

original code from yuhao

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dfc-vae

Variational Autoencoder trained by feature perceputal loss

digits

Deep Learning GPU Training System

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flax

Flax is a neural network library for JAX that is designed for flexibility.

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

google-cloud-python

Google Cloud Client Library for Python

horovod

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

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

inference

Reference implementations of inference benchmarks

intel-extension-for-tensorflow

intel-extension-for-transformers

Extending Hugging Face transformers APIs for Transformer-based models and improve the productivity of inference deployment. With extremely compressed models, the toolkit can greatly improve the inference efficiency on Intel platforms.

intel-optimization-for-horovod

java-thread-affinity

Bind a java thread to a given core

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kubernetes-handbook

Kubernetes中文指南/实践手册

makedown

mark-share

mark family's share update every 1, 2, 3, 4 in a week