Outliers1106

Outliers1106's Stars

• unit-mesh/unit-minions

  《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……

  Language:Jupyter Notebook1k117

• stitionai/devika

  Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

  Language:Python18.3k2.4k

• modelscope/agentscope

  Start building LLM-empowered multi-agent applications in an easier way.

  Language:Python4.9k300

• phodal/prompt-patterns

  Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt

  2.9k199

• unit-mesh/auto-dev

  🧙‍AutoDev: The AI-powered coding wizard（AI 驱动编程助手） with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing/Document/Agent feature 🧪 included! 🚀

  Language:Kotlin2.8k316

• JushBJJ/Mr.-Ranedeer-AI-Tutor

  A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

  28.6k3.3k

• UFund-Me/Qbot

  [🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

  Language:Jupyter Notebook7k949

• jrothschild33/learn_backtrader

  BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

  Language:Python1.1k278

• EmbolismSoil/xgboostpp

  将XGBoost c api封装成c++接口

  Language:C++3511

• iterative/dvc

  🦉 ML Experiments and Data Management with Git

  Language:Python13.6k1.2k

• iterative/cml

  ♾️ CML - Continuous Machine Learning | CI/CD for ML

  Language:JavaScript4k340

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7k553

• wbbhcb/stock_market

  Language:Jupyter Notebook593267

• billryan/resume

  An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

  Language:TeX9.2k2.6k

• hijiangtao/resume

  个人中文简历 Latex 源码 https://hijiangtao.github.io/

  Language:TeX1.8k539

• qitianwu/NodeFormer

  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

  Language:Jupyter Notebook28627

• hichenway/stock_predict_with_LSTM

  Predict stock with LSTM supporting pytorch, keras and tensorflow

  Language:Python740293

• Outliers1106/SIFLoc

  Language:Python6

• constantjxyz/GC-SPLeM

  Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression -- BIBM 2022

  Language:Python15

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k324

• PengBoXiangShang/deepchange

  ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"

  1205

• simaiden/Clothing-Detection

  Language:Python17148

• dyweb/awesome-resume-for-chinese

  :page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

  4.5k382

• zonechen1994/CV_Interview

  I hope this repo can help you a lot!

  1.2k214

• TrustAGI-Lab/SUBLIME

  [WWW'22] Towards Unsupervised Deep Graph Structure Learning

  Language:Python12924

• soulmachine/crypto-notebooks

  Jupyter notebooks for analyzing crypto data

  Language:Jupyter Notebook9635

• 51bitquant/howtrader

  Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.

  Language:Python700294

• damo-cv/Ada-NETS

  This is an official implementation for "Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space" accepted at ICLR 2022.

  Language:Python333

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python87397

• xiaoxiong74/face-cluster-framework

  A framework of face cluster

  Language:Python296