LiQianxiao / discrete-MSA

Related projects ⓘ

Alternatives and complementary repositories for discrete-MSA

• brain-research / mean-field-cnns
  ☆35Updated 5 years ago
• dilinwang820 / adaptive-f-divergence
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆20Updated 5 years ago
• wendazhou / nnet-compression-generalization
  ☆27Updated 6 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 6 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆69Updated 8 years ago
• afriesen / ftprop
  Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…
  ☆28Updated 6 years ago
• pppppass / ToolsSeminar
  Seminar on Selected Tools
  ☆23Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆82Updated 4 years ago
• gd-zhang / noisy-K-FAC
  Natural Gradient, Variational Inference
  ☆28Updated 4 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆44Updated 6 years ago
• lorraine2 / hypernet-hypertraining
  Code for Stochastic Hyperparameter Optimization through Hypernetworks
  ☆23Updated 6 years ago
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 4 years ago
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆21Updated 5 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆53Updated 3 weeks ago
• briancheung / superposition
  ☆45Updated 5 years ago
• damaru2 / ntk
  NTK reading group
  ☆85Updated 4 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 5 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• gd-zhang / Follow-the-Ridge
  Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
  ☆18Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆73Updated 6 years ago
• bneyshabur / path-sgd
  Path-SGD: Path-Normalized Optimization in Deep Neural Networks
  ☆19Updated 5 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 5 years ago
• amirgholami / HessianFlow
  ☆82Updated 4 years ago
• cambridge-mlg / miracle
  This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
  ☆21Updated 6 years ago
• kevin-w-li / deep-kexpfam
  ☆26Updated 3 years ago