Nanodl alternatives for AI agents.

Deep Learning for humans

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

Efficiently computes derivatives of NumPy code.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

We write your reusable computer vision tools. 💜

Deepfakes Software For All

💫 Industrial-strength Natural Language Processing (NLP) in Python

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python