Pinned Repositories
Autonomous-Driving-via-RL
Applying RL methods for autonomous driving in Carla simulator.
Coding_Reinforcement_Learning
Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)
Data-Structures-Algorithms-and-OOPS-in-Python
Just some practice codes
Image-Captioning-via-YOLOv5-EncoderDecoderwithAttention
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
interpretable-ml-book
Book about interpretable machine learning
Linear-Algebra
Linear Algebra Course Assignments at IISc, Bangalore
mbppol
This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
Neural-Architecture-Search-Project
Attempt of Efficient Neural Architecture Search for searching DQN approximation neural network architecture
PPO_Lagrangian_PyTorch
Implementation of PPO Lagrangian in PyTorch
Sentiment-Analysis
Twitter Sentiment Analysis
akjayant's Repositories
akjayant/Data-Structures-Algorithms-and-OOPS-in-Python
Just some practice codes
akjayant/Linear-Algebra
Linear Algebra Course Assignments at IISc, Bangalore
akjayant/Machine-Learning-Study-Material
Contains Stanford University (CS 229) Machine Learning study material
akjayant/Carla_Ray_Rlib
Carla-Simulator environment compatible with Ray/Rllib
akjayant/Data-Analysis-Pre-processing-and-Regression
Basic excercises of NLP, Numpy, Pandas, Linear Regression
akjayant/Data-Compression-Algorithm
akjayant/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
akjayant/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
akjayant/EKFAC-pytorch
Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
akjayant/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
akjayant/gradflow-check
Check gradient flow in Pytorch
akjayant/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
akjayant/markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
akjayant/My-Neural-networks
My own implementations of neural networks from scratch and some experiments on Keras framework
akjayant/neural-architecture-search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
akjayant/notes
Computer Science notes in LaTeX
akjayant/pygta5
Explorations of Using Python to play Grand Theft Auto 5.
akjayant/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
akjayant/rainbow-iqn-apex
Distributed Rainbow-IQN for Atari
akjayant/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
akjayant/safe-explorer
Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
akjayant/SmartGrid
Unified Framework
akjayant/tensorflow-experiments
Repository for experiments with TensorFlow
akjayant/tests1
Onsite Python Tests
akjayant/tests2
Online Generic Tests