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机器学习 · GitHub

发现模型训练、评估与推理框架,比较深度学习和机器学习项目的社区关注度。

实用 GitHub 项目

4,744 个项目
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BertWithPretrained preview

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习

TTS

mozilla

10,186星标
TTS preview

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

  • Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).
  • Speaker Encoder to compute speaker embeddings efficiently.
机器学习Jupyter NotebookMPL-2.0GitHub
2,255星标
MambaVision preview

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

mmagic

open-mmlab

7,481星标
mmagic preview

OpenMMLab 多模态高级、生成式与智能创作工具箱。解锁魔法 🪄:生成式 AI(AIGC)、易用的 API、出色的模型库、扩散模型,适用于文本生成图像以及图像与视频的修复和增强等。

  • State of the Art Models MMagic provides state-of-the-art generative models to process, edit and synthesize images and videos.
机器学习Jupyter NotebookApache-2.0GitHub

LMFlow

OptimalScale

8,481星标
LMFlow preview

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  • LoRA LoRA is a parameter-efficient finetuning algorithm and is more efficient than full finetuning. Check out finetuning-lora for more details.
  • FlashAttention LMFlow supports both FlashAttention-1 and the latest FlashAttention-2. Check out flash_attention for more details.
机器学习PythonApache-2.0GitHub

DAD-3DHeads

PinataFarms

512星标
DAD-3DHeads preview

Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

36星标

Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.

4,139星标
SmartCropper preview

🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框,手动调节选区,使用透视变换裁剪并矫正选区;适用于身份证,名片,文档等照片的裁剪。

  • CropImageView 选区放大镜效果
  • CropImageView xml属性配置

dowhy

py-why

8,400星标

DoWhy 是一个用于因果推理的 Python 库,支持对因果假设进行显式建模和检验。DoWhy 基于统一的因果推理语言,将因果图模型与潜在结果框架结合起来。