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Name: Meta Research
Type: Organization
Location: Menlo Park, California
Name: Meta Research
Type: Organization
Location: Menlo Park, California
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Official PyTorch implementation of "DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling," ECCV 2020
Torch implementation of DeepMask and SharpMask
deepmeg recurrent encoder
Learning Continuous Signed Distance Functions for Shape Representation
Official DeiT repository
DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
DepthContrast self-supervised learning for 3D
[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
End-to-End Object Detection with Transformers
DialogStitch Synthetic Deeper and Multi-Context Task-Oriented Dialogs
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
A framework for automatic differentiation in Kotlin
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
Design files for the DIGIT tactile sensor
Python interface for the DIGIT tactile sensor
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
Code to accompany "Human-Level Performance in No-Press Diplomacy via Equilibrium Search", published at ICLR 2021
Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
DisCo Transformer for Non-autoregressive MT
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.