Minimal library code to deploy XGBoost models in C++.

将XGBoost c api封装成c++接口

Machine Learning Models Deployment using C++ Code Generation

Code to accompany ICML 2018 paper

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.

Projects on Software Engineering with Machine Learning

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

A summary of recent semi-supervised semantic segmentation methods

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Google AI 2018 BERT pytorch implementation

Transformer related optimization, including BERT, GPT

Machine Learning Journal for Intermediate to Advanced Topics.

Train VAE like a boss

Official DeiT repository

Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.

Train the HRNet model on ImageNet

500 Lines or Less

Paper list of multi-agent reinforcement learning (MARL)

COYO-700M: Large-scale Image-Text Pair Dataset

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Compare neural networks by their feature similarity

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Synthetic Dataset used in the ICDAR2019 Competition on HArvesting Raw Tables from Infographics (CHART-Infographics)

PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

Installer from Photoshop CC 2021 to 2022 on linux with a GUI

Chart-to-Text: Generating Natural Language Explanations for Charts by Adapting the Transformer Model

Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.