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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

algorithms_and_data_structures

160+ Algorithm & Data Structure Problems using C++

apex

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

convnet-benchmark-py

PyTorch convnet performance benchmark

coursera-image-and-video-processing

Slides for the Coursera course "Image and video processing: From Mars to Hollywood with a stop at the hospital".

deep-learning-math-kernel-research

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

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

fbgemm

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

free-hadoop-books

A curated collection of free eBooks about Hadoop

front-end-handbook-2018

2018 edition of our front-end development handbook

hbonet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2

horovod

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

how-to-optimize-gemm

ideep

Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.

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-pytorch

jax

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

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

llama.cpp

LLM inference in C/C++

llm_dynamo

mkldnn_unit_test

unit test for mkldnn

mlperf

NCF and Transformer model basing on mlperf benchmark

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

onednn

oneAPI Deep Neural Network Library (oneDNN)

op_bench

opacus

Training PyTorch models with differential privacy

opennmt

optimized-models