Ke Li's repositories
Deep-Learning-Handbook-PyTorch
This is a handbook of Deep Learning by PyTorch. Most of the algorithms are realized from scratch.
PLDAC2020_Pivot_Graph_Exploration
An interactive exploration platform for topic evolution graphs
attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
darts
A python library for easy manipulation and forecasting of time series.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
FastSpeech2
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
jina
☁️ Build multimodal AI applications with cloud-native stack
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
One-Shot_Free-View_Neural_Talking_Head_Synthesis
Pytorch implementation of paper "One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing"
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-openai-transformer-lm
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
recommendation_model
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
spark-corenlp
Stanford CoreNLP wrapper for Apache Spark
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.