lancescrazy's repositories
sd_dreambooth_extension_old
sd_dreambooth_extension_old_version
RocketQA
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
Practical_RL
A course in reinforcement learning in the wild
PaddleNLP
Easy-to-use and Fast NLP library with awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications.
typora-haru-dark-theme
haru dark typora theme
examples-1
Example deep learning projects that use wandb's features.
modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
Associated-Rule-Mining---Brute-Force-Naive-Bayes-FP-Tree
Associated Rule Mining using three different approaches and it's performance analysis: Frequent itemsets are generated using Brute Force, Naive Bayes and FP Tree techniques. Association rule mining is performed on these generated frequent itemsets. Example input csv and txt files are included along with example rules and fptree output files. A modular approach to Associated Rule Mining is demonstrated.
learn-nlp-with-transformers
we want to create a repo to illustrate usage of transformers in chinese
team-learning-program
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
vae
a simple vae and cvae from keras
vision
Datasets, Transforms and Models specific to Computer Vision
photography
enjoy your life —— know IT
Mini-Conf
Run a conference from your backyard.
team-learning-rs
主要存储Datawhale组队学习中“推荐系统”方向的资料。
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Apriori-Algorithm
Python implementation of Association Rule Mining: a trivial (brute force) solution and Apriori Algorithm to find frequent itemsets