reddragon / efficient-dl-survey-paperLinks
Efficient Deep Learning Survey Paper
☆33Updated 2 years ago
Alternatives and similar repositories for efficient-dl-survey-paper
Users that are interested in efficient-dl-survey-paper are comparing it to the libraries listed below
Sorting:
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- ☆50Updated 2 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 4 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆30Updated 4 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- PyTorch implementation of GLOM☆22Updated 3 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 5 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Examples of using PyTorch hooks, as covered in my YouTube tutorial video.☆33Updated last year
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)☆16Updated 2 years ago
- PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…☆22Updated 3 years ago
- Module 1 - Autodifferentiation☆21Updated 9 months ago
- Demonstrates knowledge distillation for image-based models in Keras.☆53Updated 3 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 3 years ago
- Yet another mini autodiff system for educational purposes☆30Updated 7 months ago
- (partial) replication of results from https://arxiv.org/abs/1912.07768☆26Updated 5 years ago
- Generating Training Data Made Easy☆43Updated 4 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago