lehoangan2906

lehoangan2906's Stars

• MichaelCade/90DaysOfDevOps

  This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.

  Language:Shell27.2k527876.3k

• gabime/spdlog

  Fast C++ logging library.

  Language:C++24.3k4422.2k4.5k

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k643112.2k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.2k293993.6k

• docker/genai-stack

  Langchain + Docker + Neo4j + Ollama

  Language:Python4k6091861

• mitmath/1806

  18.06 course at MIT

  Language:Jupyter Notebook2.5k1326683

• reiniscimurs/DRL-robot-navigation

  Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  Language:Python6018160121

• mit-acl/cadrl_ros

  ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

  Language:Python5842225157

• Sentdex/Carla-RL

  Reinforcement Learning codebase for self-driving car in Carla

  Language:Python363122499

• Graylab/IgFold

  Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

  Language:Python323126661

• sylvaticus/MITx_6.86x

  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

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• mit-acl/gym-collision-avoidance

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• VinAIResearch/Anti-DreamBooth

  Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)

  Language:Python206102116

• tomasvr/turtlebot3_drlnav

  A ROS2-based framework for TurtleBot3 DRL autonomous navigation

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• imohitmayank/a_lazy_data_science_guide

  A guide book on data science for busy and equally lazy Data Scientists 😄

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• LeeKeyu/sarl_star

  SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

  Language:Python1251437

• VinAIResearch/ISBNet

  ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)

  Language:Python12036623

• gkahn13/gcg

  Language:Python10214836

• alirezakazemipour/DDPG-HER

  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.

  Language:Python872518

• vadim7s/SelfDrive

  Language:Jupyter Notebook593313

• RIVeR-Lab/tentabot

  Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)

  Language:C++4612321

• traderpy/algo-trading-strategies

  Algorithmic Trading Startegies with Python and MetaTrader5

  Language:Jupyter Notebook343020

• urgent-learner/mlentary

  quasi-open-source introductory book about machine learning, emphasis on geometry and modern concepts

  Language:TeX189416

• harshnehal1996/Self-Driving-Vehicle-With-Carla

  This repository contains implementation of reinforcement learning based driving agent in Carla aswell as Localization and Mapping in C++

  Language:Python11111

• hotaki-lab/Product-Review-Sentiment-Analysis

  The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.

  Language:Python9103

• slongwell/ITCC

  Julia implementation of Information Theoretic Co-Clustering (ITCC)

  Language:Julia7300

• SolmazOzbek/MIT_6.419x

  Data Analysis: Statistical Modeling and Computation in Applications

  Language:Jupyter Notebook53

• aiot-tech/reinforcement-learning-David-Silver

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook4107

• mgorjis/ITCC

  Information theoretic co-clustering

  Language:Jupyter Notebook4102

• YInJunWen/XUAN-Bike

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