BigWZhu's Stars
flatlogic/sing-app
💥Free and open-source admin dashboard template built with Bootstrap 4.5 💥
lemonc2009/gistandard
RobbieHan/gistandard
SandBox轻量级办公管理系统(gistandard乙方版本)
cdeil/python-discrete-optimization-examples
Quick try-out of (mostly Python) discrete optimization packages
BYU-PRISM/GEKKO
GEKKO Python for Machine Learning and Dynamic Optimization
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
jump-dev/AmplNLWriter.jl
A Julia interface to AMPL-enabled solvers
jckantor/ND-Pyomo-Cookbook
A repository of Pyomo examples.
Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
MiniZinc/MiniZincIDE
The MiniZinc IDE
thehapyone/NanoCamera
A simple to use camera interface for the Jetson Nano for working with USB and CSI cameras in Python.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
NVIDIA-AI-IOT/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
CSCfi/machine-learning-scripts
Collection of scripts and tools related to machine learning
Boyiliee/MoEx
MoEx (Moment Exchange)
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
ghliu/pytorch-ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
AndersonJo/dqn-pytorch
Deep Q Learning via Pytorch
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
sthalles/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
AtsushiSakai/PyAdvancedControl
Python codes for advanced control
dddzg/MoCo
A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
Shunichi09/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
chenwydj/learning-to-learn-by-gradient-descent-by-gradient-descent
Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
yangsenius/learning-to-learn-by-pytorch
"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
MorvanZhou/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
learnables/learn2learn
A PyTorch Library for Meta-learning Research
daooshee/Few-Shot-Learning
ServiceNow/TADAM
The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.