Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Python code for common Machine Learning Algorithms
- linear-regression
- polynomial-regression
- logistic-regression
- decision-trees
A 15TB Collection of Physics Simulation Datasets
[ICCV 2019] Monocular depth estimation from a single image
Performance analysis of predictive (alpha) stock factors
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
TensorFlow Basic Tutorial Labs
Probabilistic reasoning and statistical analysis in TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Plain python implementations of basic machine learning algorithms
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Materials for the Hugging Face Diffusion Models Course
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
Genome modeling and design across all domains of life
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Build a modern LLM from scratch. Every line commented. Explained like we are five.
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