ABigSurvey alternatives for AI agents.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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

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, ... 🧠

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

NLTK Source

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

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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.

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

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

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite