Alternatives and similar repositories for machine-learning-kd-diagnosis:

Users that are interested in machine-learning-kd-diagnosis are comparing it to the libraries listed below

• pelillian / varro
  If FPGAs are universal function approximators, can they be used like neural networks?
  ☆9Updated 3 years ago
• dalmia / machine-learning-paper-notes
  This repository contains my notes for the research papers that I read for anyone to briefly glance over the details.
  ☆13Updated 6 years ago
• n2cholas / dsc-workshops
  Workshop materials created for the Data Science Club at UWaterloo.
  ☆17Updated 2 years ago
• jithurjacob / arxiv-url-replacer
  A Chrome extension to replace Arxiv URL's
  ☆10Updated 6 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• dennybritz / representation-learning
  Unsupervised Deep Learning and Representation Learning Tutorial
  ☆12Updated 9 years ago
• adeshpande3 / Music-Analysis
  Trying to apply deep learning to music analysis
  ☆12Updated 7 years ago
• GrantStenger / rl-finance
  CAIS++ Spring 2019 Project: Building an Agent to Trade with Reinforcement Learning
  ☆40Updated 4 years ago
• rldotai / mdpy
  Markov Decision Processes in Python
  ☆15Updated 6 years ago
• AdamStelmaszczyk / rl-tutorial
  Source code for "A deep dive into reinforcement learning"
  ☆12Updated 5 years ago
• captain-pool / hydra-example
  ☆20Updated 2 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 4 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆29Updated 4 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• artix41 / ALFI-pytorch
  Code for the paper Recurrent Machines for Likelihood-Free Inference
  ☆16Updated 6 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• DanielTakeshi / Self_Study_Courses
  These will be public notes for courses that I'm self-studying.
  ☆26Updated 4 years ago
• llSourcell / AI_Humanities
  This is the curriculum for AI Humanities by Siraj Raval on Youtube
  ☆64Updated 6 years ago
• jefkine / zeta-learn
  zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
  ☆38Updated 4 years ago
• DidierRLopes / momentum-football-bets
  Football bets prediction based on momentum
  ☆17Updated 3 years ago
• kennyyu / cs109-project
  The Karma Train: A Look into the World of Reddit
  ☆13Updated 11 years ago
• erfanMhi / base_reinforcement_learning
  This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…
  ☆12Updated 2 years ago
• SamuelSchmidgall / EvolutionarySelfReplication
  Produce intelligence by means of natural selection without objective/reward optimization
  ☆14Updated 3 years ago
• xuedong / machine-learning-summer-schools
  Curated materials for different machine learning related summer schools
  ☆19Updated 3 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 4 years ago
• MuonRay / QuantumNetworkSimulations
  A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…
  ☆13Updated 6 months ago
• Ifiokcharles / COVID-19-Anti-viral-cure-using-deep-reinforcement-learning
  ☆20Updated 4 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 3 years ago
• kachayev / dataclasses-tensor
  Easily serialize dataclasses to and from tensors (PyTorch, NumPy)
  ☆18Updated 3 years ago