jesseee.j's starred repositories
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
LayerNorm_GRU
Implement layer normalization GRU in pytorch
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Awesome-time-series
A comprehensive survey on the time series domains
google-research
Google Research
reinforcement-learning-an-introduction-chinese
《Reinforcement Learning: An Introduction》（第二版）中文翻译
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
DQN-Trading
A Deep Reinforcement Learning Framework for Stock Market Trading
LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Quant-Reading-List
Papers for AI + quantitative investment
goto_conversion
Gambling Odds To Outcome probabilities Conversion (goto_conversion) that is More Accurate and Efficient than Shin and Power
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Quantitative
Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439