Pinned Repositories
Caffe_PlantVillage
Training AlexNet on PlantVillage dataset
DDPG_TORCS2
DDPG with Gaussian noise for autonomous driving in TORCS
DSMC-2Dcylinder
DSMC simulation of rarefied flow over a cylinder (2D)
Euler2D_cpp
Solving the 2D Euler equations in C++
Habitat_RL
Habitat experiments using PPO-LSTM
POD_DEIM_Cpp
C++ implementation of Reduced Basis Method (RBM) with Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM); see Buffoni & Willcox, AIAA 2010-5008 for more details
PPO_Torcs2
Autonomous Driving on Torcs using PPO
SAC_Torcs
Autonomous driving in Torcs using SAC reinforcement learning
SVD_C
Singular Value Decomposition in C
VTK_cpp
Create vtk files for 2D data using C++
kaushikb258's Repositories
kaushikb258/SVD_C
Singular Value Decomposition in C
kaushikb258/DDPG_TORCS2
DDPG with Gaussian noise for autonomous driving in TORCS
kaushikb258/Habitat_RL
Habitat experiments using PPO-LSTM
kaushikb258/PPO_Torcs2
Autonomous Driving on Torcs using PPO
kaushikb258/Caffe_PlantVillage
Training AlexNet on PlantVillage dataset
kaushikb258/POD_DEIM_Cpp
C++ implementation of Reduced Basis Method (RBM) with Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM); see Buffoni & Willcox, AIAA 2010-5008 for more details
kaushikb258/SAC_Torcs
Autonomous driving in Torcs using SAC reinforcement learning
kaushikb258/NMT_BiGRU
Neural Machine Translation (NMT) with Bidirectional GRU using TensorFlow 2.0
kaushikb258/Cpp_samples1
Dijkstra, Kruskal and Hex game from Ira Pohl's course
kaushikb258/DRLND
Udacity's Deep Reinforcement Learning Nanodegree
kaushikb258/GAN_experiments
GAN with (1) Wasserstein loss + gradient penalty and (2) Cramer distance
kaushikb258/Gray_Scott_Cuda
Gray-Scott model using Cuda
kaushikb258/HydrogenFlameCudaSharedMemory
Hydrogen detonation using Cuda with shared memory
kaushikb258/OpenCV_tutorials
OpenCV tutorials for image processing
kaushikb258/RBM_Cuda
Cuda implementation of Reduced Basis Method (RBM) with Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM); see Buffoni & Willcox, AIAA 2010-5008 for more details
kaushikb258/RL_pytorch
Reinforcement Learning algorithms DDQN and PPO in Pytorch
kaushikb258/TF2_experiments
Experiments with TensorFlow 2.0 - a beginners tutorial
kaushikb258/tf_nn_cnn
Tensorflow implementation of a Neural Network and a Convolutional Neural Network
kaushikb258/Vizdoom_RL
Playing vizdoom with RL
kaushikb258/BTranspose
Human pose estimation with self-supervised pre-training
kaushikb258/Cuda_device_calling_host_fn
Calling host member functions from device in Cuda
kaushikb258/Cuda_for_engineers
Examples from the book cuda for Engineers
kaushikb258/DeepRL_Parking
Automatic parking using Deep Deterministic Policy Gradients (DDPG)
kaushikb258/DQN_DDQN_Dueling_A3C
Reinforcement learning codes in tensorflow
kaushikb258/fsdl-text-recognizer-project
Full Stack Deep Learning Bootcamp Project (Public)
kaushikb258/keras_tests_CNN
Keras CNN: InceptionNet, VGG16, ResNet
kaushikb258/OpenCV_Py_examples
OpenCV examples using Python
kaushikb258/Packt_RL_book1
Code files for Packt RL book
kaushikb258/Schlogl_cuda
Schlogl Model in Cuda
kaushikb258/World_Models
Coding Ha and Schmidhuber's World Models