PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡
☆17Mar 3, 2023Updated 3 years ago
Alternatives and similar repositories for lightning-hydra-timm
Users that are interested in lightning-hydra-timm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Online tool to visualize birds detected by weather radars☆17Dec 4, 2024Updated last year
- Import and query all of eBird locally☆12Apr 20, 2022Updated 3 years ago
- LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.☆23Nov 14, 2022Updated 3 years ago
- ☆14Jul 24, 2025Updated 8 months ago
- GroundedSAM Base Model plugin for Autodistill☆56Apr 17, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆11Aug 18, 2021Updated 4 years ago
- [ICML 2024] Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination☆14Apr 29, 2025Updated 11 months ago
- ☆18Feb 22, 2025Updated last year
- SMART introduces a novel test-time framework where Small Language Models (SLMs) reason step-by-step, and Large Language Models (LLMs) pro…☆11Jul 9, 2025Updated 9 months ago
- ☆18Sep 1, 2022Updated 3 years ago
- [CVPR 2025] QuartDepth☆17Mar 24, 2025Updated last year
- ☆15Apr 6, 2026Updated last week
- Metadata Processing Block (MetaBlock)☆14Jan 31, 2024Updated 2 years ago
- ☆70Mar 2, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Source code of our TNNLS paper "Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution"☆12Apr 14, 2023Updated 3 years ago
- Locality-Aware Hyperspectral Classification☆18Jan 10, 2025Updated last year
- ☆16Dec 9, 2023Updated 2 years ago
- ☆14Jul 14, 2025Updated 9 months ago
- [ICML 2025] Official PyTorch implementation of "NegMerge: Sign-Consensual Weight Merging for Machine Unlearning"☆14Nov 25, 2025Updated 4 months ago
- ☆15Apr 11, 2024Updated 2 years ago
- Update BasicSR to support PyTorch2.0 DDP training☆17Mar 23, 2023Updated 3 years ago
- ☆28Mar 10, 2026Updated last month
- Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets☆20Apr 3, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆17Mar 10, 2025Updated last year
- ☆13Jul 25, 2024Updated last year
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- ☆23Dec 16, 2025Updated 4 months ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Fork of Flame repo for training of some new stuff in development☆19Updated this week
- Generalizing satellite image time series classifiers with thermal time☆18Jun 14, 2022Updated 3 years ago
- First Latency-Aware Competitive LLM Agent Benchmark☆26Jun 3, 2025Updated 10 months ago
- Using Feature Decomposition method to accelerate GNN inference☆13Sep 27, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 2 years ago
- [ICCAD 2025] Squant☆15Jul 3, 2025Updated 9 months ago
- Reparameterizing Engineering Designs for Augmented Multi-objective Optimization☆10Feb 18, 2023Updated 3 years ago
- RepGhostNetV2: When RepGhost meets MobileNetV4☆16May 29, 2024Updated last year
- Official PyTorch implementation of the paper entitled 'Self Attentive Pooling for Efficient Deep Learning'.☆13May 3, 2024Updated last year
- [ICML 2025] MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design☆27Jul 4, 2025Updated 9 months ago
- ☆16Jun 25, 2024Updated last year