The-AI-Summer / RNN_tutorial

Related projects: ⓘ

• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆35Updated 4 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆33Updated 7 months ago
• ajinkya98 / TensorBoard_PyTorch
  ☆17Updated 4 years ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated last year
• bentrevett / pytorch-generative-models
  [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…
  ☆29Updated 5 years ago
• talipturkmen / Fastformer-Pytorch
  Pytorch implemenation of FastTransformers
  ☆7Updated 3 years ago
• Lornatang / GAN-PyTorch
  A complete implementation of the Pytorch neural network framework for GAN
  ☆24Updated 3 years ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆22Updated 3 years ago
• 0aqz0 / pytorch-attention-mechanism
  my codes for learning attention mechanism
  ☆50Updated 4 years ago
• The-AI-Summer / awesome-machine-learning-bootcamps
  A curated list of bootcamps and platforms to learn Machine Learning and Data Science
  ☆16Updated 3 years ago
• Ifiokcharles / COVID-19-Anti-viral-cure-using-deep-reinforcement-learning
  ☆20Updated 4 years ago
• sayakpaul / Knowledge-Distillation-in-Keras
  Demonstrates knowledge distillation for image-based models in Keras.
  ☆51Updated 3 years ago
• The-AI-Summer / JAX-examples
  A set of of fundamental operations and deep learning models using JAX
  ☆13Updated 3 years ago
• kartikgill / Autoencoders
  ☆11Updated 3 years ago
• LecJackS / CS-330-Deep-Multi-Task-and-Meta-Learning
  https://cs330.stanford.edu/
  ☆60Updated last year
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆40Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆55Updated 5 years ago
• sayakpaul / Generalized-ODIN-TF
  TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …
  ☆45Updated 3 years ago
• soumik12345 / multi-label-text-classification
  A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.
  ☆16Updated 2 years ago
• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆32Updated last year
• dtransposed / MLP-Mixer
  PyTorch implementation of MLP-Mixer architecture.
  ☆12Updated 3 years ago
• vsnnlab / Face
  ☆10Updated 2 years ago
• buomsoo-kim / PyTorch-learners-tutorial
  PyTorch tutorial for learners
  ☆119Updated 4 years ago
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆43Updated 2 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆73Updated 4 years ago
• mattochal / imbalanced_fsl_public
  PyTorch implementation for "Few-Shot Learning with Class Imbalance"
  ☆35Updated 3 years ago
• dglai / dgl_winter_school
  ☆30Updated 3 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 2 years ago
• joaofig / strat-group-split
  Code to perform stratified split of grouped datasets into train and validation sets using optimization
  ☆16Updated last year
• ShivamRajSharma / Transformer-Architectures-From-Scratch
  Implementation of transformers based architecture in PyTorch.
  ☆48Updated 3 years ago