deep-learning

This is Andrew NG Coursera Handwritten Notes.

A python library for self-supervised learning on images.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

AI Infra / AI Orchestration / AI Control Plane

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

The fast.ai course notebooks

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Minimal and Clean Reinforcement Learning Examples

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

a distributed deep learning platform

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Probably the best curated list of data science software in Python.

Classic papers and resources on recommendation

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Free to use online tool for labelling photos. https://makesense.ai

Synthetic data generation for tabular data

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

Open Machine Learning course

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Seamlessly integrate LLMs into scikit-learn.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

:earth_americas: machine learning tutorials (mainly in Python3)

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch