fjxmlzn / GPUTaskSchedulerLinks
GPU Task Scheduler (Python library)
☆43Updated 4 years ago
Alternatives and similar repositories for GPUTaskScheduler
Users that are interested in GPUTaskScheduler are comparing it to the libraries listed below
Sorting:
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Updated 3 years ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆29Updated 5 months ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- Factorized Neural Layers☆29Updated 2 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 4 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 3 years ago
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆28Updated 2 years ago
- PyTorch implementation of HashedNets☆36Updated 2 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 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
- ☆29Updated 2 years ago
- ☆45Updated 5 years ago
- ☆22Updated 4 years ago
- ☆23Updated 2 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆102Updated last year
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- Auction algorithm for solving linear assignment problem (LAP)☆71Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated last month
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆31Updated 2 years ago
- Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.☆28Updated 2 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Updated 2 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆53Updated 3 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 10 months ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- SyReNN: Symbolic Representations for Neural Networks☆41Updated 2 years ago
- This repo contains the implementation of deep reinforcement learning (DRL) algorithms for virtual machine rescheduling in data centers.☆10Updated 2 years ago