Hao Li (SDriven)

SDriven

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Location:Beijing

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Hao Li's starred repositories

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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rna-stanford

RNA kaggle

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Google-Fast-or-Slow-33rd-Place-Solution

Google - Fast or Slow? Predict AI Model Runtime - 33rd solution.

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ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

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openai-translator

基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.

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pybroker

Algorithmic Trading in Python with Machine Learning

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kaggle-feedback-english-language-learning-1st-place-solution

Feedback Prize - English Language Learning: 1st place solution code

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wechat-chatgpt

Use ChatGPT On Wechat via wechaty

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openai-cookbook

Examples and guides for using the OpenAI API

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Efficient_Python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

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kaggle-feedback-effectiveness-1st-place-solution

Winning solution for the Kaggle Feedback Prize Challenge.

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GNN_Review

GNN综述阅读报告

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temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

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sn-spotting

Repository containing all necessary codes to get started on the SoccerNet Action Spotting challenge. This repository also contains several benchmark methods.

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cnn-lstm

CNN LSTM architecture implemented in Pytorch for Video Classification

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video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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nfl_impact_detection

Solution for the NFL 1st and Future - Impact Detection competition

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DS-Career-Resources

Compilation of resources for aspiring data scientists

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cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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DeepCTR-pytorch

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

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backtrader

Python Backtesting library for trading strategies

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ctr_Keras

LR, Wide&Deep, DCN, NFM, DeepFM, NFFM

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segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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AGCRN

Adaptive Graph Convolutional Recurrent Network

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