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Curated list of datasets and tools for post-training.
很多镜像都在国外。比如 gcr 。国内下载很慢，需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。
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Awesome Reasoning LLM Tutorial/Survey/Guide
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…
A playbook for systematically maximizing the performance of deep learning models.
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Paper Collection for Imitation Learning in RL.
Google Research
A collection of deep reinforcement learning algorithm implementations
Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)
Microsoft and GitHub Workers Support 996.ICU
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
A Simple and Versatile Framework for Object Detection and Instance Recognition
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Black-Box Adversarial Attack on Public Face Recognition Systems
An educational resource to help anyone learn deep reinforcement learning.