Search Results for "python code generator"
Sort By:
Showing 3 open source projects for "python code generator"
View related business solutions-
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
-
MeridianLink One: A Unified Banking Software Solution for All SaaS Products and ServicesMeridianLink® Opening simplifies and accelerates digital account opening with a streamlined platform built for speed, security, and scalability. It supports a full suite of deposit products—checking, savings, CDs, and IRAs—while delivering a consistent, omnichannel experience across all channels. Through seamless integration with core and digital banking systems, as well as hundreds of trusted third-party providers, it automates data entry, ID verification, credit checks, and fraud protection. Flexible workflows and intelligent decisioning help institutions increase conversions, reduce abandonment, and cross-sell more effectively—all while supporting compliance and a frictionless consumer experience.
-
1
PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
2
DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
3
Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
- Previous
- You're on page 1
- Next
