deep-learning

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

This repository contains the source code for the paper First Order Motion Model for Image Animation

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Image augmentation for machine learning experiments.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

A toolkit for making real world machine learning and data analysis applications in C++

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

Face recognition using Tensorflow

Open-source simulator for autonomous driving research.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An open source implementation of CLIP.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Open Machine Learning Compiler Framework