Sachin Gupta's starred repositories
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
awesome-rl
Reinforcement learning resources curated
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
ud120-projects
Starter project code for students taking Udacity ud120
zulip-mobile
Zulip mobile apps for Android and iOS.
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
u-net-brain-tumor
U-Net Brain Tumor Segmentation
MLND-Capstone
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
stock-prediction
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
neural-network-stock-predictor
Semester project for COS 470 (Artifical Intelligence) at the University of Maine.
deep-learning
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
Dog-Breed-Classifier
I built a CNN that can classify dog breeds
Dog-Breed-Classifier
An example of using CNNs and Transfer Learning to classify the breed of a dog
scikit-learn
scikit-learn-doc-zh
ML-From-Scratch
Bare bones Python implementations of various Machine Learning models and algorithms.