Bi-DexHands: Bimanual Dexterous Manipulation via Reinforcement Learning

Bi-DexHands provides a collection of bimanual dexterous manipulations tasks and reinforcement learning algorithms.

Github: https://github.com/pku-marl/dexteroushands

Isaac Gym: https://developer.nvidia.com/isaac-gym

Paper: https://arxiv.org/abs/2206.08686

👉 @bigdata_1

SETR - Pytorch

Github: https://github.com/920232796/setr-pytorch

Paper: https://arxiv.org/abs/2206.11520v1

Dataset: https://www.kaggle.com/c/carvana-image-masking-challenge/data

👉 @bigdata_1

MindWare: Efficient Open-source AutoML System

MindWare is an efficient open-source system to help users to automate the process of: 1) data pre-processing, 2) feature engineering, 3) algorithm selection, 4) architecture design, 5) hyper-parameter tuning, and 6) model ensembling.

Github: https://github.com/PKU-DAIR/mindware

Docs: https://mindware.readthedocs.io/en/latest/

Paper: https://arxiv.org/abs/2206.09423v1

👉 @bigdata_1

Tntorch - Tensor Network Learning with PyTorch

PyTorch-powered modeling and learning library using tensor networks. Installation: pip install tntorch

Github: https://github.com/rballester/tntorch

Docs site: http://tntorch.readthedocs.io/

Paper: https://arxiv.org/abs/2206.11128v1

👉 @bigdata_1

Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

IMS Toucan is a toolkit for teaching, training and using state-of-the-art Speech Synthesis models.

Github: https://github.com/rballester/tntorch

Pre-Generated Audios: https://multilingualtoucan.github.io/

Cloning prosody across speakers: https://toucanprosodycloningdemo.github.io/

Paper: https://arxiv.org/abs/2206.12229v1

👉 @bigdata_1

Insubstantial Object Detection

Dataset comprised of 600 videos (141,017 frames) covering various distances, sizes, visibility, and scenes captured by different spectral ranges.

Github: https://github.com/calayzhou/iod-video

Project: https://calayzhou.github.io/

Paper: https://arxiv.org/abs/2206.11459v1

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1

Forecasting Future World Events with Neural Networks

Github: https://github.com/andyzoujm/autocast

Paper: https://arxiv.org/abs/2206.15474v1

Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz

👉 @bigdata_1

How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras

https://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/

👉 @bigdata_1

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

Github: https://github.com/shiqiyu/opengait

Paper: https://arxiv.org/abs/2206.13732v1

Dataset: https://paperswithcode.com/dataset/usf

👉 @bigdata_1

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Github: https://github.com/Deep-MI/FastSurfer

Colab: https://colab.research.google.com/github/Deep-MI/FastSurfer/blob/master/Tutorial/Tutorial_FastSurferCNN_QuickSeg.ipynb

Paper: https://arxiv.org/abs/2206.14919v1

👉 @bigdata_1

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Github: https://github.com/timothyhtimothy/fast-vqa

Paper: https://arxiv.org/abs/2207.02595v1

Dataset: https://paperswithcode.com/dataset/kinetics

👉 @bigdata_1

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations

For the first time brings the power of robust data augmentations into regularizing the NeRF training.

Github: https://github.com/vita-group/aug-nerf

Paper: https://arxiv.org/abs/2207.01164v1

Cloud Drive: https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1

👉 @bigdata_1

Bounding Box Deep Learning: The Future of Video Annotation

https://www.kdnuggets.com/2022/07/bounding-box-deep-learning-future-video-annotation.html

👉 @bigdata_1

SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation

First Seq-DeepFake dataset, where face images are manipulated sequentially with corresponding annotations of sequential facial manipulation vectors.

Github: https://github.com/rshaojimmy/seqdeepfake

Project: https://rshaojimmy.github.io/Projects/SeqDeepFake

Paper: https://arxiv.org/pdf/2207.02204.pdf

Dataset: https://paperswithcode.com/dataset/imagenet

👉 @bigdata_1

Understanding the Design of a Convolutional Neural Network

https://machinelearningmastery.com/understanding-the-design-of-a-convolutional-neural-network/

👉 @bigdata_1

YOLOv7

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Github: https://github.com/wongkinyiu/yolov7

Paper: https://arxiv.org/abs/2207.02696v1

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1

Object Centric Open Vocabulary Detection

Object-centric alignment of the language embeddings from the CLIP model.

Github: https://github.com/hanoonaR/object-centric-ovd

Paper: https://arxiv.org/abs/2207.03482v1

Dataset: https://paperswithcode.com/dataset/imagenet

👉 @bigdata_1

The 5 Best Places To Host Your Data Science Portfolio

https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html

👉 @bigdata_1

An Efficiency Study for SPLADE Models

SParse Lexical AnD Expansion Model for First Stage Ranking.

Github: https://github.com/naver/splade

Paper: https://arxiv.org/abs/2207.03834v1

Dataset: https://paperswithcode.com/dataset/ms-marco

👉 @bigdata_1

PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision

Human-centric privacy-preserving synthetic data generator with highly parametrized domain randomization.

Github: https://github.com/unity-technologies/peoplesanspeople

Paper: https://arxiv.org/abs/2207.05025v1

Demo Video: https://www.youtube.com/watch?v=mQ_DUdB70dc

👉 @bigdata_1