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Gokul S's Projects

awesome-bert-nlp icon awesome-bert-nlp

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

awesome-machine-learning-art icon awesome-machine-learning-art

:robot::art::guitar:A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.

awesome-ui icon awesome-ui

An "Awesome" curated list but for design (UI & UX) resources. Contains theory, tutorials, books, libraries, and other resources

babi-tasks icon babi-tasks

Task generation for testing text understanding and reasoning

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batch-dropblock-network icon batch-dropblock-network

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

bert-and-friends icon bert-and-friends

This repository contains the complete code for the BERT and Friends final Project

bert-for-inference icon bert-for-inference

A small repo showing how to easily use BERT (or other transformers) for inference

bert-sentiment-analysis icon bert-sentiment-analysis

This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Activision titles on social media data. In this project, we aim to predict sentiment on Reddit data.

bertviz icon bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

bmw-yolov4-training-automation icon bmw-yolov4-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv4 and YOLOV3 has never been so easy.

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