PaddlePaddle / continuous_integration
☆16Updated 6 months ago
Alternatives and similar repositories for continuous_integration:
Users that are interested in continuous_integration are comparing it to the libraries listed below
- Macro Continuous Evaluation Platform for Paddle.☆19Updated 4 years ago
- Paddle Continuous Evaluation, keep updating.☆26Updated 3 years ago
- ☆78Updated this week
- contribution works with PaddlePaddle from the third party developers☆20Updated 2 years ago
- ☆14Updated 5 years ago
- PaddlePaddle TestSuite☆44Updated this week
- ☆18Updated 4 years ago
- hapi is a High-level API that supports both static and dynamic execution modes☆75Updated 2 years ago
- Documentations for PaddlePaddle☆248Updated this week
- Easy & Effective Application Framework for PaddlePaddle☆34Updated 4 years ago
- ☆21Updated last year
- Compiler Infrastructure for Neural Networks☆145Updated last year
- upgrade paddle-1.x to paddle-2.0☆12Updated 3 years ago
- SOTA benchmark☆18Updated last year
- 飞桨大模型开发套件,提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。☆459Updated 9 months ago
- PaddlePaddle Developer Community☆98Updated this week
- PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)☆81Updated this week
- ☆17Updated last month
- Take neural networks as APIs for human-like AI.☆20Updated 5 years ago
- ☆250Updated last month
- DeepLearning Framework Performance Profiling Toolkit☆285Updated 2 years ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆846Updated 2 months ago
- Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT,…☆151Updated last year
- 面向产业应用的AI开源评测基准☆11Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆266Updated last year
- ☆33Updated last year
- To make it easy to benchmark AI accelerators☆183Updated 2 years ago
- TensorRT Plugin Autogen Tool☆369Updated last year
- High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.☆533Updated 2 years ago
- ONNX Model Exporter for PaddlePaddle☆771Updated this week