StepByBo's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
google-research/bert
TensorFlow code and pre-trained models for BERT
facebookresearch/fastText
Library for fast text representation and classification.
alibaba/lowcode-engine
An enterprise-class low-code technology stack with scale-out design / 一套面向扩展设计的企业级低代码技术体系
markyun/markyun
在Github的学习片段
febobo/web-interview
语音打卡社群维护的前端面试题库,包含不限于Vue面试题,React面试题,JS面试题,HTTP面试题,工程化面试题,CSS面试题,算法面试题,大厂面试题,高频面试题
changgyhub/leetcode_101
LeetCode 101:力扣刷题指南
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
ShameCom/ShameCom
收集校招污点公司或组织,帮助学弟学妹避雷。互联网不曾遗忘!
649453932/Chinese-Text-Classification-Pytorch
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
CLUEbenchmark/CLUENER2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
microsoft/samples-for-ai
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
dongminlee94/deep_rl
PyTorch implementation of deep reinforcement learning algorithms
thu-coai/ConvLab-2
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
rlcode/per
Prioritized Experience Replay (PER) implementation in PyTorch
Kaixhin/ACER
Actor-critic with experience replay
RchalYang/torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
truthless11/GDPL
Task-oriented Dialog Policy Learning with Adversarial Inverse Reinforcement Learning
lnpalmer/A2C
PyTorch implementation of Advantage Actor-Critic (A2C)
dike1999/front-end-interview
前端面试题总结
fancyerii/bert
TensorFlow code and pre-trained models for BERT
MiuLab/DialogDQN-Variants
aaivu/aaivu-dialogue-policy-optimization
Dialogue policy optimization in low resource setting
iTharindu/DialogPolicy
Dialog policy optimization for task-oriented conversational agents in low resource setting using Reinforcement learning. The methodology is based on a novel probability based Self-play technique and a novel Reward based sampling technique that prioritizes failed dialogues over successful ones