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A modular implementation for Proximal Policy Optimization in Tensorflow 2 using Eagerly Execution for the Super Mario Bros enviroment.

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

COCO API - Dataset @ http://cocodataset.org/

Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)

Accepted in MIDL 2020

Road Damage Detection Challenge (IEEE Big Data Cup 2020)

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Repository for research in the field of Responsible NLP at Meta.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

Reinforcement Learning Environments for Omniverse Isaac Gym

A minimalist environment for decision-making in autonomous driving

An OpenAI Gym environment for the Flappy Bird game

👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

Download and pre-processing of ROAD dataset

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Unsupervised anomaly detection with generative model, keras implementation

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Python - 100天从新手到大师

Be great at emacs in one year

所有基础数据结构和算法的纯C语言实现，如各自排序、链表、栈、队列、各种树以及应用、图算法、字符串匹配算法、回溯、并查集等，献丑了

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析