YuffieHuang's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
TadasBaltrusaitis/OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
huggingface/deep-rl-class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
NVIDIA-AI-IOT/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
nicodjimenez/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
marlbenchmark/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
huawei-noah/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
coxlab/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
princeton-nlp/LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Vinohith/Self_Driving_Car_specialization
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
semitable/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
mohammadasghari/dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
enginBozkurt/SelfDrivingCarsControlDesign
Self Driving Cars Longitudinal and Lateral Control Design
PawaritL/BayesianLSTM
Bayesian LSTM Implementation in PyTorch
gsurma/jetson
Self-driving AI toy car 🤖🚗.
liuzuxin/MPC_template-model_predictive_control_for_reinforcement_learning
Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
Phoenix-Shen/ReinforcementLearning
强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
leido/pytorch-prednet
PredNet implementation using PyTorch
manantomar/MPC
Contains simple MPC implementation with neural network learned dynamics.
vgaraujov/CPC-NLP-PyTorch
Implementation of Contrastive Predictive Coding for Natural Language
hello-world-zsp/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
rashed091/Bayesian-Deep-Learning
jonizhong/afa_prednet