limbuu

limbuu's Stars

• awesome-selfhosted/awesome-selfhosted

  A list of Free Software network services and web applications which can be hosted on your own servers

  194k2.5k8049.4k

• SerenityOS/serenity

  The Serenity Operating System 🐞

  Language:C++30.4k3504.2k3.2k

• firecracker-microvm/firecracker

  Secure and fast microVMs for serverless computing.

  Language:Rust25.1k3281.4k1.8k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.8k939704.6k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.2k6352655.5k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k2738603.1k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.5k712263.9k

• horovod/horovod

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

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

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k226161.9k

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.1k49541413

• neuralmagic/deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  Language:Python3k55136171

• HuaizhengZhang/Awesome-System-for-Machine-Learning

  A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

  2.6k12430301

• jubalh/awesome-os

  A list of operating systems and stuff

  1.6k5517155

• alibaba/clusterdata

  cluster data collected from production clusters in Alibaba for cluster management research

  Language:Jupyter Notebook1.6k77176404

• tkestack/tke

  Native Kubernetes container management platform supporting multi-tenant and multi-cluster

  Language:Go1.5k51566331

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k3014522

• campusx-official/100-days-of-machine-learning

  Language:Jupyter Notebook1.1k31131.6k

• towardsai/tutorials

  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

  Language:Jupyter Notebook982403365

• vladimirvivien/go-cshared-examples

  Calling Go Functions from Other Languages using C Shared Libraries

  Language:Dart8733320112

• Netflix/Fenzo

  Extensible Scheduler for Mesos Frameworks

  Language:Java70045154116

• kengz/awesome-deep-rl

  A curated list of awesome Deep Reinforcement Learning resources.

  65832070

• propublica/compas-analysis

  Data and analysis for 'Machine Bias'

  Language:Jupyter Notebook618480263

• petuum/adaptdl

  Resource-adaptive cluster scheduler for deep learning training.

  Language:Python420115875

• learnedsystems/RMI

  The recursive model index, a learned index structure

  Language:Rust21210834

• utsaslab/MONeT

  MONeT framework for reducing memory consumption of DNN training

  Language:Python17211519

• GuanhuaWang/sensAI

  sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

  Language:Python64968

• msr-fiddle/CoorDL

  Language:C++231112

• ranasingh-gkp/PCA-TSNE-on-MNIST-dataset

  # MNIST dataset downloaded from Kaggle : #https://www.kaggle.com/c/digit-recognizer/data

  Language:Jupyter Notebook148

• matthewdeng/ray-train-demos

  Demos using Ray Train

  Language:Jupyter Notebook12110

• cake-lab/DELI

  Optimizing loading training data from cloud bucket storage for cloud-based distributed deep learning. Official repository for Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage, to be published in IC2E 2021

  Language:Jupyter Notebook11101