Alternatives and similar repositories for caltech-cs11-tensorflow

Users that are interested in caltech-cs11-tensorflow are comparing it to the libraries listed below

• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 6 years ago
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 3 years ago
• WessZumino / Random-Matrix-theory-for-pedestrians
  ☆18Updated 5 years ago
• locuslab / mixing
  The Mixing method: coordinate descent for low-rank semidefinite programming
  ☆15Updated 4 years ago
• ml4tp / gamepad
  A Learning Environment for Theorem Proving
  ☆76Updated 3 years ago
• facebookresearch / LA-MCTS
  High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
  ☆29Updated 3 years ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated 2 years ago
• Pi-Star-Lab / csce642-deepRL
  Assignments of CSCE-642: Deep Reinforcement Learning offered at Texas A&M University.
  ☆10Updated 3 months ago
• rasmusbergpalm / nanograd
  A miniscule implementation of reverse mode auto-differentiation
  ☆29Updated 4 years ago
• talesa / amci
  Amortized Monte Carlo Integration
  ☆15Updated 5 years ago
• nicolasprevot / GpuShareSat
  Source code for GpuShareSat, a library for SAT solvers to use the GPU for clause sharing between CPU threads.
  ☆34Updated 4 years ago
• hongseok-yang / probprog17
  ☆28Updated 7 years ago
• sandialabs / Prove-It
  A tool for proving and organizing general theorems using Python.
  ☆30Updated this week
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• eperrier / quant-geom-machine-learning
  ☆23Updated 3 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆38Updated 3 years ago
• breandan / picograd
  🦠 AD in less than 20 lines
  ☆54Updated 4 years ago
• probcomp / adev
  Haskell prototype to accompany the paper "ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs"
  ☆66Updated 2 years ago
• microsoft / knossos-ksc
  Compiler with automatic differentiation
  ☆49Updated 2 years ago
• tailintalent / AI_physicist
  AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
  ☆34Updated 4 years ago
• google-deepmind / flows_for_atomic_solids
  ☆53Updated 3 years ago
• sophiaas / simple-neural-nets
  Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.
  ☆11Updated 3 years ago
• danbriggs / Turing
  Methods for accelerating and proving theorems about 5-state Busy Beaver candidates
  ☆20Updated 4 years ago
• SymJAX / SymJAX
  Documentation:
  ☆125Updated 2 years ago
• MatthiasNickles / diff-SAT
  Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
  ☆68Updated last year
• andrewschreiber / agent
  Interpretability dashboard for reinforcement learners
  ☆16Updated 6 years ago
• pyprob / ppx
  Probabilistic Programming eXecution protocol (PPX)
  ☆76Updated 3 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆79Updated 6 years ago
• google-deepmind / s6
  ☆152Updated 3 years ago