zhengying-liu / autodl_starting_kit_stableLinks
Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)
☆41Updated 5 years ago
Alternatives and similar repositories for autodl_starting_kit_stable
Users that are interested in autodl_starting_kit_stable are comparing it to the libraries listed below
Sorting:
- A specially designed light version of Fast AutoAugment☆171Updated 5 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Updated 3 years ago
- A general, modular, and programmable architecture search framework☆123Updated 2 years ago
- A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2…☆22Updated 4 years ago
- A pytorch based classification experiments template☆47Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆170Updated 5 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆168Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated 2 years ago
- ☆18Updated 6 years ago
- Hands-on Tutorial on Automated Deep Learning☆149Updated 5 years ago
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆147Updated 3 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- Implement Differentiable Architecture Search (DARTS) for RNN with fastai☆24Updated 6 years ago
- Knowledge Distillation Toolkit☆88Updated 5 years ago
- ☆54Updated 5 years ago
- fast.ai starter kit for Google Landmark Retrieval 2019 challenge☆61Updated 6 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆40Updated 7 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- homura is a library for fast prototyping DL research☆106Updated 3 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- My PyTorch project template (for Kaggle and research)☆150Updated 6 years ago
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 4 years ago
- Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"☆97Updated 5 years ago