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adafruit-beaglebone-io-python

Adafruit's BeagleBone IO Python Library

air-act2act

aws

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bbbw

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

d-kitty-d-claw.-robotics-benchmarks-for-learning-with-low-cost-robots-

damien

new player to this world

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeptype

Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

dropout

A theano implementation of Hinton's dropout.

evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

gait-recognition

Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models

gait-recognition-using-smartphones

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

gcsl

Code for "Learning to Reach Goals via Iterated Supervised Learning"

hello-word

this is a trial to understand the github running motion

hugadb

Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.

mrs_uav_system

The entry point to the MRS UAV system.

mujoco-worldgen

Automatic object XML generation for Mujoco

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

numpy-ml

Machine learning, in numpy

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

prml-1

PRML algorithms implemented in Python

random-network-distillation

Code for the paper "Exploration by Random Network Distillation"