Starred repositories
This project implements a real-time image and video object detection classifier using pretrained yolov3 models.
A game theoretic approach to explain the output of any machine learning model.
Enhances the Steam Inventory and Steam Market.
Dynamic Adversarial Benchmarking platform
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
A project that uses optical flow and machine learning to detect aimhacking in video clips.
Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
A PyTorch Library for Accelerating 3D Deep Learning Research
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Applying BERT for named entity recognition on resumes.
Text preprocessing, representation and visualization from zero to hero.
A collection of awesome readme templates to display on your profile
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
A repository detailing work involved in the kaggle competition Tweet Sentiment Extraction (Jupyter Notebook)
An exploration of the Kaggle disaster Tweets dataset and development of a predictive model
Keras Attention Layer (Luong and Bahdanau scores).
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An open-source Python framework for hybrid quantum-classical machine learning.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Reading Wikipedia to Answer Open-Domain Questions
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP