HerloConnell's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
LLMs_interview_notes
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
Journal-Response-Letter-Template-Latex
A Latex template for journal review response (initially designed for IEEE TVCG)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
learn2learn
A PyTorch Library for Meta-learning Research
loss-landscape
Code for visualizing the loss landscape of neural nets
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
awesome-multi-task-learning
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Awesome-Zero-Shot-Learning
Latest progresses (papers & datasets) of zero-shot learning.
Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
Contrastive-Learning-NLP-Papers
Paper List for Contrastive Learning for Natural Language Processing
papers.cool
Cool Papers - Immersive Paper Discovery
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
standard-k-opt
C++ implementation of k-opt for the symmetric Euclidean traveling salesman problem. Mainly serves as validation for more complex implementations.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
Bayesian-Analysis-with-Python
《用Python做贝叶斯分析》
emacs-application-framework
EAF, an extensible framework that revolutionizes the graphical capabilities of Emacs