Cs229 2019 Summer alternatives for AI agents.

Data science interview questions and answers

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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

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

Deep Learning for humans

Google Research

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

🧑‍🏫 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 Modular Platform (includes MAX & Mojo)

Datasets, Transforms and Models specific to Computer Vision

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.

南瓜书：《机器学习》（西瓜书）公式详解

Tensor library for machine learning

NLTK Source