gopalkalpande
Follow
Stars
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Number Plate recognition system for Indian Setting
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A curated list of awesome neural radiance fields papers
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
Enhanced Subject Word Object Extraction
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Graph Neural Networks for Recommender Systems
A C++ implementation of Yolov5 helmet detection in Jetson Xavier nx and Jetson nano
PyTorch implementations of Generative Adversarial Networks.
Hands-On Generative Adversarial Networks with PyTorch 1.x, Published by Packt
This is a full guide on GANs from the book Generative Adversarial Networks with Python, Jason Brownlee
Generative Adversarial Networks Projects, published by Packt
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
gopalkalpande / Advanced-Natural-Language-Processing-with-TensorFlow-2
Forked from codefornlp/Advanced-Natural-Language-Processing-with-TensorFlow-2Advanced Natural Language Processing with TensorFlow 2, published by Packt
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Keras implementations of Generative Adversarial Networks.
A seq2seq model that can generate summaries from fine food reviews on Amazon.
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).