nsokhand

3D_Pose_Estimation_CVPR2016

Deep-Learning

Deep learning nano-degree challenges

deepdream

How_to_generate_music_in_tensorflow_LIVE

ML-From-Scratch

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

rl_algorithms

I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

nsokhand/Deep-Learning

Deep learning nano-degree challenges

nsokhand/ML-From-Scratch

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

nsokhand/rl_algorithms

I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

nsokhand/amazon-sagemaker-visual-transformer

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

nsokhand/awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

nsokhand/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

nsokhand/CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

nsokhand/DeepRL

Highly modularized implementation of popular deep RL algorithms by PyTorch

nsokhand/Faster-RCNN_TF

Faster-RCNN in Tensorflow

nsokhand/GANS-for-style-transfer

nsokhand/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

nsokhand/gps

Guided Policy Search

nsokhand/gym-gazebo

A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.

nsokhand/How-to-Learn-from-Little-Data

This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube

nsokhand/how_to_use_tensorboard_live

This is the code for the "How to Use Tensorboard" live session by Siraj Raval on Youtube

nsokhand/keras-deep-learning-paper-implementations

Keras implementation of Deep Learning papers

nsokhand/keras-rl

Deep Reinforcement Learning for Keras.

nsokhand/language-translation

Neural machine translator for English2German translation.

nsokhand/modular_rl

Implementation of TRPO and related algorithms

nsokhand/pixelDA_GAN

Domain Adaptation using GAN

nsokhand/PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

nsokhand/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

nsokhand/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

nsokhand/rlkit

Collection of reinforcement learning algorithms

nsokhand/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

nsokhand/roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

nsokhand/show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

nsokhand/Siraj_Chatbot_Challenge

Entry for machine learning

nsokhand/TensorBox

Object detection in TensorFlow

nsokhand/tensorflow

An Open Source Machine Learning Framework for Everyone