This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
Physics-based Character Controllers Using Conditional VAEs (SIGGRAPH 2022)
Source code for CVPR 2022 paper Sylph A Hypernetwork Framework for Few-shot Object Detection
Aria data tools provide the open-source toolkit in C++ and Python to interact with data from Project Aria
ACT An Architectural Carbon Modeling Tool for Designing Sustainable Computer Systems
Repository for research in the field of Responsible NLP at Meta.
A collection of utilities for the intersection of machine learning and systems research.
Code for "Open Vocabulary Extreme Classification Using Generative Models"
This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.
VeriPy is a python based Verilog/Systemverilog automation tool. It automates ports/wire/reg/logic declarations, sub-module Instantiation, embedded python, IO spec flow, memory wrapper generation, various code generation plugins and configurable code generation. The VeriPy Wiki has more the detailed documentation.
Compile-time shape checking and inference in Kotlin for tensor code
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
