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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

2022_fintech_hw1

2022_fintech_hw1

aes

Automatic Essay Scoring

alphalens_rev

Performance analysis of predictive (alpha) stock factors

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-machine-learning-resources

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

awesome-program

A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

cheatsheets

cleandiffuser

cmsis

Cortex Microcontroller Software Interface Standard

concentration-detection

This repo takes advantages of OpenCV and TensorFlow to achieve the goal of concentration analysis (camera/video part).

conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

data-science-interview-questions-answers

Curated list of data science interview questions and answers

data-structure

data-structure-programming-assignment

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

dify

An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

financial-news-dataset

109,110 news from Reuters.

financial-programming-collection

fingpt

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

finlab_crypto

Documentation

finrobot

FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀

focus

This repository is the official implementation of Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

hprl_wnt

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs (ICML 2023)

june_applications_21

Skillset Challenge for the Apprenticeship Program, June 2021.

langflow

⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.