ShivaprasadNadagoudr
Bachelor's in Computer Science and Engineering | Master's in Machine Learning and Computation
Bangalore, Karnataka, India
ShivaprasadNadagoudr's Stars
ZitongYu/CDCN
Central Difference Convolutional Networks (CVPR'20)
ZitongYu/DeepFAS
🔥Deep Learning for Face Anti-Spoofing
NVIDIA/open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
parachutel/gym
My own edition of OpenAI gym
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
Data-Science-in-Mechanical-Engineering/Contextual-GoSafe
Data-Science-in-Mechanical-Engineering/franka-emika-panda-simulation
rlcode/reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
jonathandinu/spark-ray-data-science
Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.
vincentwen1995/Reinforcement-Learning-Reproduction
Reproduction project for Reinformence Learning at UvA.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
lukasfro/bayesopt4ros_workspace
Example catkin workspace to run BayesOpt4ROS
IntelligentControlSystems/bayesopt4ros
Bayesian Optimisation package for ROS
AxelThevenot/Python_Benchmark_Test_Optimization_Function_Single_Objective
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TianhongDai/hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
google-deepmind/acme
A library of reinforcement learning components and agents
google-deepmind/dm_env
A Python interface for reinforcement learning environments
RITCHIEHuang/DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
cts198859/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
brynhayder/reinforcement_learning_an_introduction
Notes and exercise solutions for second edition of Sutton & Barto's book
bayesoptbook/bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
fffaraz/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
catalyst-team/catalyst
Accelerated deep learning R&D
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Stable-Baselines-Team/rl-colab-notebooks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
PGE383-HPC/live_lectures