Alternatives and similar repositories for DLV

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

• duvenaud / herding-paper
  Optimally-weighted herding is Bayesian Quadrature
  ☆16Updated 8 years ago
• TrustAI / DeepGame
  A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
  ☆20Updated 4 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆42Updated 9 years ago
• iassael / torch-ddcnn
  From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)
  ☆42Updated 8 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• ProofByConstruction / better-explanations
  Warehouse for running small experiments and sharing them with the group
  ☆29Updated 8 years ago
• AkhilanB / CNN-Cert
  ☆22Updated 3 years ago
• souradeep-111 / sherlock
  Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.
  ☆28Updated 5 years ago
• oval-group / PLNN-verification
  All code for the Piecewise Linear Neural Networks verification: A comparative study paper
  ☆36Updated 6 years ago
• 51alg / TerpreT
  ☆43Updated 7 years ago
• 95616ARG / SyReNN
  SyReNN: Symbolic Representations for Neural Networks
  ☆40Updated 2 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 12 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆16Updated 5 years ago
• Joshuaalbert / jaxnlds
  Inference on non-linear dynamical systems written in JAX
  ☆11Updated 4 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• allenai / forces
  ☆14Updated 8 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆22Updated 6 years ago
• dreossi / analyzeNN
  ☆18Updated 6 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• jhjin / stochastic-cnn
  Torch implementation for Robust convolutional neural networks under adversarial noise
  ☆13Updated 9 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 5 years ago
• robertsdionne / bouncingball
  Visualizes gradient descent techniques on functions of two variables f(x, y): Stochastic Gradient Descent, Momentum, Nesterov's Accelerat…
  ☆14Updated 7 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 6 years ago
• guykatzz / ReluplexCav2017
  ☆101Updated 4 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago