Cloud Gpus alternatives for AI agents.

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.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The fastai deep learning library

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Machine Learning Compiler Framework

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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).

A python library for user-friendly forecasting and anomaly detection on time series.

A log of things I'm learning

🤗 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.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite