deep-learning

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

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。

Models, data loaders and abstractions for language processing, powered by PyTorch

Synthetic data generation for tabular data

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

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

Open Machine Learning course

Seamlessly integrate LLMs into scikit-learn.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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

[CVPR2020] Adversarial Latent Autoencoders

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

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

An unnecessarily tiny implementation of GPT-2 in NumPy.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.