AI Rank
EN
← 开源
finegrain-ai

refiners

Refiners (discontinued early 2025) was a microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation.

Model DevelopmentFine-tuningPython
在 GitHub 打开
增长势头
+024 小时新增 Star0.0%
833
Star
63
Fork
+0
本周
16
贡献者
创建于 2023-08-04 · 更新于 2026-10-12 · 今日第 13356 名
主要开发者
catwelldeltheillimiteinductive

finegrain-ai/refiners 排名第 13,356，有 833 个星标。

同类别比较

finegrain-ai/refiners 排名第 13,356，此处有 8 个同类条目；koaning/human-learn 排名第 13,358。

同类别比较
名称排名指标
MIV-XJTU/FSDrive13,350
语言:
Python
星标数:
833
分叉数:
52
简介:
[NeurIPS 2025 spotlight] Official implementation for "FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving"
OpenBMB/AgentCPM13,351
语言:
Python
星标数:
833
分叉数:
70
简介:
An End-to-End Infrastructure for Training and Evaluating Various LLM Agents
StanfordASL/Trajectron-plus-plus13,352
语言:
Jupyter Notebook
星标数:
833
分叉数:
221
简介:
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
deepinv/deepinv13,353
语言:
Python
星标数:
833
分叉数:
221
简介:
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
koaning/human-learn13,358
语言:
Jupyter Notebook
星标数:
833
分叉数:
54
简介:
Natural Intelligence is still a pretty good idea.
tonl-dev/tonl13,361
语言:
TypeScript
星标数:
833
分叉数:
36
简介:
TONL (Token-Optimized Notation Language)
wujiyang/Face_Pytorch13,362
语言:
Python
星标数:
833
分叉数:
154
简介:
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
foamliu/Deep-Image-Matting-PyTorch13,366
语言:
Python
星标数:
832
分叉数:
181
简介:
Deep Image Matting implementation in PyTorch
关键参数与规格
关键参数与规格
参数值
语言Python
类别Model Development
子类别Fine-tuning
关键词PEFT
星标数833
分叉数63
贡献者16
创建日期2023-08-04
更新日期2026-10-12
1 天星标数0
7 天星标数0
排名13,356
上次排名13,259
排名变化-97
7 天星标排名13,900
上次 7 天星标排名13,922
7 天星标排名变化22
总星标排名12,893
上次总星标排名12,877
总星标排名变化-16
国家France
README 摘录

**The simplest way to train and run adapters on top of foundation models** [! NOTE] **Refiners is retired and no longer maintained. ** Finegrain stopped working on this open-source framework in early 2025. The code and documentation remain available for historical reference.

常见问题

记录了多少星标和分叉？

finegrain-ai/refiners 有 833 个星标和 63 个分叉。

仓库排名是多少？

finegrain-ai/refiners 排名第 13,356。

记录的语言和类别是什么？

finegrain-ai/refiners 有 833 个星标，语言为 Python，类别为 Model Development。

哪个仓库排名最接近？

finegrain-ai/refiners 与 koaning/human-learn 比较，后者排名第 13,358，有 833 个星标。

README

The simplest way to train and run adapters on top of foundation models

[!NOTE] Refiners is retired and no longer maintained.

Finegrain stopped working on this open-source framework in early 2025. The code and documentation remain available for historical reference.

排名相邻
同类项目