Repository Index

We write your reusable computer vision tools. 💜

• computer-vision
• image-processing
• python
• yolo

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

• quantitative-finance
• machine-learning
• stock-data
• platform

Streamlit — A faster way to build and share data apps.

• python
• machine-learning
• data-science
• deep-learning

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

• deep-learning

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

• pytorch
• gan
• deep-learning
• super-resolution

Code and documentation to train Stanford's Alpaca models, and generate the data.

• deep-learning
• instruction-following
• language-model

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

• ocr
• deep-learning
• crnn
• pytorch

100-Days-Of-ML-Code中文版

• machine-learning
• python
• 100-days-of-ml-code
• chinese-simplified

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

• machine-learning
• machine-intelligence
• artificial-intelligence
• reinforcement-learning

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

• image-annotation
• python
• computer-vision
• annotations

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

• transferlearning
• domain-adaptation
• transfer-learning
• survey

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

• deep-learning
• pytorch
• grad-cam
• visualizations

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

• cloud-computing
• deep-learning
• gpu
• hyperparameter-tuning

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

• yolox
• yolov3
• onnx
• tensorrt

Visual localization made easy with hloc

• deep-learning
• visual-localization
• feature-matching
• image-retrieval

A python library for self-supervised learning and latent world models on images.

• deep-learning
• self-supervised-learning
• machine-learning
• computer-vision

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

• deep-learning
• speech
• speech-recognition
• speech-to-text

A curated list of community detection research papers with implementations.

• graph-clustering
• network-clustering
• clustering
• dimensionality-reduction

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

• deep-learning
• computer-vision
• speech-recognition
• 3d-convolutional-network

A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.

• healthcare
• data-mining
• deep-learning
• preprocessing

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

• reinforcement-learning
• python
• deep-learning
• gym

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

• tabular-data
• gans
• train-dataframe
• adversarial-filtering