zhengying-liu / autodlLinks
A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2019.
☆22Updated 5 years ago
Alternatives and similar repositories for autodl
Users that are interested in autodl are comparing it to the libraries listed below
Sorting:
- Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)☆41Updated 6 years ago
- This code is for running enas on nni.☆25Updated 6 years ago
- ☆98Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search☆112Updated 2 years ago
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆20Updated 2 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Updated last year
- a lightweight transformer library for PyTorch☆72Updated 4 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
- ☆69Updated 5 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆315Updated 2 years ago
- ☆71Updated 5 years ago
- ☆18Updated 6 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆30Updated 5 years ago
- collecting related resources of automated machine learning here☆54Updated 3 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆100Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 6 years ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- ☆108Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- A general, modular, and programmable architecture search framework☆123Updated 2 years ago
- Implementing Google's DistBelief paper☆116Updated 2 years ago
- A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.☆18Updated 5 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 3 years ago
- Code for "AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning"☆52Updated 2 years ago
- Official data release to reproduce Confident Learning paper results☆40Updated 3 years ago
- ☆68Updated 8 months ago