The fastai book, published as Jupyter Notebooks

Learn OpenCV : C++ and Python Examples

《统计学习方法》的代码实现

Automatic extraction of relevant features from time series:

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Google Brain AutoML

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Pytorch🍊🍉 is delicious, just eat it! 😋😋

The 3rd edition of course.fast.ai

Solutions of Reinforcement Learning, An Introduction

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

A pedagogical implementation of Autograd

Language-Driven Semantic Segmentation

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Person Re-ranking (CVPR 2017)

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函…

a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Some notebooks for NLP

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

indicTranslate v1 - Machine Translation for 11 Indic languages. For latest v2, check: https://github.com/AI4Bharat/IndicTrans2

[CVPR 2021] Multi-shot Temporal Event Localization: a Benchmark

Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"

Part of 3rd place solution for Kaggle's Tweet Sentiment Extraction

Part of the 7th solution of the Kaggle Tweet Sentiment Extraction competition

A Swarm environment in OpenAI gym style