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The official PyTorch implementation of Google's Gemma models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Official code for "Behavior Generation with Latent Actions" (ICML 2024 Spotlight)
A list of cool features of Git and GitHub.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
FineTuning LLMs on conversational medical dataset.
A curated list of awesome LLM agents frameworks.
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A PyTorch Implementation of "Recurrent Models of Visual Attention"
[IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a few key architectures.
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
You Only Look Once for Panopitic Driving Perception.（MIR2022）
无人驾驶的资源列表中文版
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
A curated list of papers & resources linked to 3D reconstruction from images.
some algorithm about self-driving car，mainly including perception algorithm，2D/3D object detection，Semantic segmentation and so on
A resource repository for 3D machine learning
Fast and robust algorithm to extract edges in unorganized point clouds
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey