- Montreal, Canada
- @_himanshuarora_
Stars
tutorial on how to deploy a scalable autoregressive causal language model transformer using nvidia triton server
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
⭐️ Companies that don't have a broken hiring process
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
High-quality implementations of standard and SOTA methods on a variety of tasks.
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Neural question generation using transformers
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Tensorflow implementation of contextualized word representations from bi-directional language models
Unsupervised approach to keyword extraction
Repository for the code associated with the paper: Unsupervised Extractive Summarization using Mutual Information
EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings (official implementation)
The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
An enterprise-class UI design language and React UI library
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
NMA deep learning course
Official PyTorch implementation of GDWCT (CVPR 2019, oral)
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
Learning a Spatial Activation Function for Efficient Image Restoration
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.