Nitish Bhardwaj's repositories
Deep-Learning-Resources
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
awesome-3D-Deep-Learning
Collection of 3D deep-learning/machine learning materials
Applied-Deep-Learning-MA321M
This project contains tutorials for Applied Deep Learning.
MachineLearningRecipesCodes
This repo contains the code mentioned in the video tutorials of Google's Machine Learning Recipes.
awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
awesome-scholarly-data-analysis
A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.
Deconvnet-keras
Deconvnet example based on Keras
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepLearningONNX
This project is inspired by ONXX. It contains implementation of python codes to support re-usability of trained models across different Deep Learning frameworks as Keras, Tensoflow, Pytorch and Theano.
DeepLearningSolutions
Some experiments done on Deep Learning research papers
DeepLearningWithKeras
Deep Learning tutorials with examples using Keras
Hello-World
"Hello World" in 50 programming languages.
keras-retinanet
Keras implementation of RetinaNet object detection.
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
langchain
🦜🔗 Build context-aware reasoning applications
neural_renderer
The code for the paper "Neural 3D Mesh Renderer" by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada.
nitish11.github.io
Awesomeness
SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
SPADE
Semantic Image Synthesis with SPADE
TextualEntailment
A project on text classification
working-with-big-data
Slides, code, and supplemental materials for the LiveLesson: Working with Big Data: Infrastructure, Algorithms, and Visualizations