Alternatives and similar repositories for ScalableML

Users that are interested in ScalableML are comparing it to the libraries listed below

• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆44Updated 2 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• uber-research / metropolis-hastings-gans
  ☆115Updated last year
• BorealisAI / lite_tracer
  a light weight experiment reproducibility toolset
  ☆40Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• NVIDIA / Milano
  Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
  ☆155Updated 6 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 8 years ago
• david-abel / latex_docs
  LaTeX template and custom commands
  ☆59Updated 5 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 6 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago
• ucla-labx / distbelief
  Implementing Google's DistBelief paper
  ☆110Updated 2 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• LilianYe / some-Solutions-for-Elements-of-Elements-of-Statistical-Learning
  ☆26Updated 10 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆329Updated 3 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆215Updated 6 years ago
• mlresearch / v70
  Proceedings of ICML 2017
  ☆24Updated 2 years ago
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆52Updated 5 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆150Updated 5 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• ChengtaoLi / dan
  Demo code for the paper ''Distributional Adversarial Networks''
  ☆19Updated 7 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆66Updated 6 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆139Updated 8 years ago
• DoctorTeeth / fred
  FRED simulator and associated paper
  ☆26Updated 9 years ago
• pooyanjamshidi / mls
  CSCE 585 - Machine Learning Systems
  ☆39Updated 5 months ago
• DeepGraphLearning / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆31Updated 6 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆143Updated 2 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago