Pinned Repositories
AI-Agents-for-Frozen-Lake-Problem
The task contains three different agents. A random agent, a simple agent and a RL agent. The problem is similar to the Frozen Lake problem which introduced by Open AI Gym. It requires the agent to “learn” how to get across the lake from the start point to the goal point and not to fall into a hole.
Applying-BERT-model
Perform a supervised text classification task, the sentiment classification on Android app store reviews. https://colab.research.google.com/drive/1Y4o3jh3ZH70tl6mCd76vz_IxX23biCPP
File-classification-by-type
First time trying to use unix command line to classify files
Leetcode-Sort-Problems
libpku
贵校课程资料民间整理
Listener
树莓派家庭安防 (raspberry Calls Baidu Service for Speech Recognition)
Mac-brew-and-jupyter-notebook-problem
Records for solving the problem of reinstalling Homebrew and Jupyter notebook, relocate the python interpreter within the terminal and so on
Machine-Learning-Feature-Selection
Machine Learning Feature Selection
Machine-Learning-Model-Selection
Model selection strategy in machine learning
Nocodio-number
FDM technical test
S1E9's Repositories
S1E9/AI-Agents-for-Frozen-Lake-Problem
The task contains three different agents. A random agent, a simple agent and a RL agent. The problem is similar to the Frozen Lake problem which introduced by Open AI Gym. It requires the agent to “learn” how to get across the lake from the start point to the goal point and not to fall into a hole.
S1E9/Applying-BERT-model
Perform a supervised text classification task, the sentiment classification on Android app store reviews. https://colab.research.google.com/drive/1Y4o3jh3ZH70tl6mCd76vz_IxX23biCPP
S1E9/File-classification-by-type
First time trying to use unix command line to classify files
S1E9/Leetcode-Sort-Problems
S1E9/libpku
贵校课程资料民间整理
S1E9/Listener
树莓派家庭安防 (raspberry Calls Baidu Service for Speech Recognition)
S1E9/Mac-brew-and-jupyter-notebook-problem
Records for solving the problem of reinstalling Homebrew and Jupyter notebook, relocate the python interpreter within the terminal and so on
S1E9/Machine-Learning-Feature-Selection
Machine Learning Feature Selection
S1E9/Machine-Learning-Model-Selection
Model selection strategy in machine learning
S1E9/Nocodio-number
FDM technical test
S1E9/Proxy-Settings-for-Unavaliable-Music
Revive unavailable songs for Netease Cloud Music
S1E9/RecSys-based-on-Spotlight
Try to use spotlight to build a recsys
S1E9/RecSystem-Pytorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
S1E9/Shared-Bike-PC-application
University of Glasgow PSD course group project
S1E9/Thread-Subreddit-Comment-Discourse-Classification
S1E9/Transfer-Learning-on-image-classification
S1E9/TREC-Fair-Ranking
Master project
S1E9/TREC_fairness_IR
S1E9/Video-LLaVA
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection