HimanshuMittal01

HimanshuMittal01's Stars

• renatoviolin/xlnet

  XLNet: fine tuning on RTX 2080 GPU - 8 GB

  Language:Python15418

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.7k3.5k

• AastaNV/ChatBot

  Language:Python4211

• AastaNV/Face-Recognition

  Demonstrate Plugin API for TensorRT2.1

  Language:C++18264

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5.1k1.3k

• avijit2verma/food-reco-gan

  Food Recognition using Generative Adversarial Networks

  82

• CrookedNoob/Mask_RCNN-Multi-Class-Detection

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Jupyter Notebook3723

• akTwelve/tutorials

  Tutorial content from ImmersiveLimit.com

  Language:Jupyter Notebook8847

• DavidJanz/successor_uncertainties_atari

  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemysław Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek. NeurIPS 2019. *Equal contribution

  Language:Python201

• breeko/snake

  Language:Python12

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k1.4k

• abreheret/PixelAnnotationTool

  Annotate quickly images.

  Language:C++1.4k309

• dennybritz/cnn-text-classification-tf

  Convolutional Neural Network for Text Classification in Tensorflow

  Language:Python5.7k2.8k

• azihsoyn/flutter_mlkit

  A Flutter plugin to use the Firebase ML Kit.

  Language:Dart38990

• san-jeev/Week5-Project

  Language:HTML11

• ageitgey/face_recognition

  The world's simplest facial recognition api for Python and the command line

  Language:Python53.8k13.5k

• aagrawal207/OpenCV-Face-Recognition

  Language:Python3733

• anjanatiha/Pneumonia-Detection-from-Chest-X-Ray-Images-with-Deep-Learning

  Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

  Language:Jupyter Notebook15577

• pranjalchaubey/Transfer-Learning

  Transfer Learning on the Kaggle Pneumonia Dataset

  Language:Jupyter Notebook8

• FlorianWoelki/pneumonia-detection

  This is a simplified version of pneumonia detection using a chest x-ray dataset with the inceptionv3 image classifier.

  Language:Jupyter Notebook133

• serkansokmen/ml-workspace

  ML experiments and snippets

  Language:Jupyter Notebook2

• omerbsezer/LSTM_RNN_Tutorials_with_Demo

  LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

  Language:Python734296

• thekevinscott/ml-classifier-ui

  A UI tool for quickly training image classifiers in the browser

  Language:TypeScript24623

• HimanshuMittal01/LSTM-Neural-Network-for-Time-Series-Prediction

  LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

  Language:Python1

• llSourcell/Time_Series_Prediction

  This is the code for "Time Series Prediction" By Siraj Raval on Youtube

  Language:Jupyter Notebook194118

• alkaline-ml/pmdarima

  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

  Language:Python1.6k235

• google-deepmind/multi_object_datasets

  Multi-object image datasets with ground-truth segmentation masks and generative factors.

  Language:Python26025

• borisbanushev/stockpredictionai

  In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.4k1.7k

• namas191297/twitter_sentiment_analysis

  Flask application used to analyze tweets and their sentiments based on a hashtag.

  Language:HTML102

• tensorflow/tfjs-examples

  Examples built with TensorFlow.js

  Language:JavaScript6.6k2.3k