anushkahebbar

anushkahebbar's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k285412.2k

• horovod/horovod

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

  Language:Python14.2k3342.2k2.2k

• mit-pdos/xv6-public

  xv6 OS

  Language:C7.8k22203.8k

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k3554731.8k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.5k12730489

• spack/spack

  A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

  Language:Python4.2k998.4k2.2k

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k107211825

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k19133526

• open-mpi/ompi

  Open MPI main development repository

  Language:C2.1k1203.6k857

• google-research/big_transfer

  Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

  Language:Python1.5k4258174

• google/ml_collections

  ML Collections is a library of Python Collections designed for ML use cases.

  Language:Python879171939

• delimitrou/DeathStarBench

  Open-source benchmark suite for cloud microservices

  Language:Lua72523167401

• Alibaba-MIIL/ImageNet21K

  Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

  Language:Python722117171

• intel/ai-reference-models

  Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

  Language:Python6743773220

• facebookresearch/odin

  A simple and effective method for detecting out-of-distribution images in neural networks.

  Language:Python5261218102

• Alibaba-MIIL/TResNet

  Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

  Language:Python469194362

• Alibaba-MIIL/ML_Decoder

  Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

  Language:Python31536752

• intel/lkp-tests

  Linux Kernel Performance tests

  Language:Shell25025116153

• google/ghost-userspace

  Language:C219164656

• salesforce/hierarchicalContrastiveLearning

  Language:Python1477814

• DonkeyShot21/cassle

  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

  Language:Python11451818

• mfleming/performance-resources

  A collection of software performance content, blogs, books, and lists.

  11420012

• hpc/xpmem

  Linux Cross-Memory Attach

  Language:C85222537

• amd/ZenDNN

  Language:C++808914

• amd/UIF

  5713210

• tyler-hayes/Deep_SLDA

  PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"

  Language:Python512014

• rolandobrondolin/DEEP-mon

  an eBPF-based monitoring tool to measure container resource usage, power consumption, network I/O, and file I/O

  Language:C41624

• iVishalr/GEMM

  Fast Matrix Multiplication Implementation in C programming language. This matrix multiplication algorithm is similar to what Numpy uses to compute dot products.

  Language:C21201

• jodydadescott/firecracker-kernel

  Language:Shell21

• alex--m/xpmem

  Linux Cross-Memory Attach

  Language:C100