← AI 开源项目榜
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AI 开源项目榜。

每日快照间新增星数排名 · 第 562 / 664 页
16831290
typesense/typesense-js
+0

JavaScript / TypeScript client for Typesense

573· TypeScript
16832290
Dstack-TEE/dstack
+0

Open framework for confidential AI

572· Rust
16833290
HKUDS/SepLLM
+0

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

572· Python
16834289
Maknee/minigpt4.cpp
+0

Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)

572· C++
16835288
Sergio0694/NeuralNetwork.NET
+0

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

572· C#
16836288
Tessellate-Imaging/monk_v1
+0

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

572· Jupyter Notebook
16837288
TsinghuaC3I/MARTI
+0

[ICLR 2026] A Framework for LLM-based Multi-Agent Reinforced Training and Inference

572· Python
16838288
XingangPan/GAN2Shape
+0

Code for GAN2Shape (ICLR2021 oral)

572· Python
16839288
agentify-sh/desktop
+0

Agentify Desktop lets Codex/Claude/OpenCode control your logged-in ChatGPT, Claude, AiStudio, Gemini, Grok, Perplexity web sessions via MCP, parallel hidden/visible tabs, file upload + image download

572· JavaScript
16840288
alexeygrigorev/mlbookcamp-code
+0

The code from the Machine Learning Bookcamp book

572· Jupyter Notebook
16841288
allenai/tango
+0

Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

572· Python
16842288
aqibsaeed/Multilabel-timeseries-classification-with-LSTM
+0

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

572· Jupyter Notebook
16843288
chaoyi-wu/RadFM
+0

The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

572· Python
16844288
demuxin/pytorch_tricks
+0

some tircks for PyTorch

572
1684510262
eltociear/awesome-AI-driven-development
+0

Awesome list of AI-Driven Development.

572
16846288
erwold/qwen2vl-flux
+0
572· Python
16847288
google-research-datasets/paws
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This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

572· Python
16848288
jackaduma/CycleGAN-VC2
+0

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

572· Python
16849287
leptonai/imgpilot
+0

Turn the draft into amazing artwork with the power of Real-Time Latent Consistency Model

572· TypeScript
16850287
luca-medeiros/lightning-sam
+0

Fine-tune Segment-Anything Model with Lightning Fabric.

572· Python
168512522
meetpateltech/AI-Infinity
+0

A set of AI tools that will help you explore the infinite possibilities of AI.

572
16852288
open-nudge/torchlayers
+0

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

572· Python
16853288
philgras/neural-head-avatars
+0

Official PyTorch implementation of "Neural Head Avatars from Monocular RGB Videos"

572· Python
16854288
salesforce/PyRCA
+0

PyRCA: A Python Machine Learning Library for Root Cause Analysis

572· Python
16855288
torrvision/siamfc-tf
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SiamFC tracking in TensorFlow.

572· Python
16856288
vsyw/Keras-OpenFace
+0

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

572· Jupyter Notebook
16857287
worldbench/awesome-ai-auto-research
+0

🔥 A Survey on AI Auto-Research

572· HTML
16858285
KaihuaTang/Long-Tailed-Recognition.pytorch
+0

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

571· Jupyter Notebook
16859284
PJLab-ADG/3DTrans
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An open-source codebase for exploring autonomous driving pre-training

571· Python
16860284
Rachnog/Advanced-Deep-Trading
+0

Mostly experiments based on "Advances in financial machine learning" book

571· Jupyter Notebook