邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

Data science interview questions and answers

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

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, ... 🧠

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.

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

🤗 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.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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

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