Stars
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Official implementation of the paper “Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning”
Implementation of Slot Attention from GoogleAI
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
南京大学学位论文(本科/硕士/博士)，毕业论文LaTeX模板
"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
A PyTorch Library for Meta-learning Research
Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization