bhargavaram1997 Goto Github PK

a64fx

ai-robotics-summer-school-2018-yonsei-university

This is source code for AI Robotics summer class. Inside here are all the source code of knowledge about AI with the state of art algorithms: MLP, SVM, DNN, Faster R-CNN, SSD, YOLO, Time Series seq-to-seq modeling: RNN, LSTM, GRU and Reinforcement Learning

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autockt

Deep Reinforcement Learning of Analog Circuit Designs

automated-optimal-path-finder

An automated AI to find the shortest path using Q-Learning

bag2_cds_ff_mpt

BAG2 workspace for fake PDK (cds_ff_mpt)

bag_deep_ckt

genetic and neural net optimization for circuit design

bag_framework

bag_framework-1

Berkeley Analog Generator

bag_framework-2

Berkeley Analog Generator

bag_framework-3

Berkeley Analog Generator

bag_nk

All my files for setting up the Berkeley Analog Generator (BAG)

caffe

Caffe: a fast open framework for deep learning.

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cu-gr

CUGR, VLSI Global Routing Tool Developed by CUHK

ddpg_multiagent

Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deep-reinforcement-learning-algorithm-collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeplearning.ai

deeplearning.ai-1

This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

deeplearning.ai-assignments

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deeplearningvideogames