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841.
▲
A Minimal Video Instance Segmentation Framework Without Video-Based Training
(github.com/NVlabs)
1 point
lnyan
4 years ago
discuss
842.
▲
Double Take – UI/API for processing and training images for facial recognition
(github.com/jakowenko)
1 point
voxadam
4 years ago
discuss
843.
▲
Godel: Large-Scale Pre-Training for Goal-Directed Dialog
(github.com/microsoft)
1 point
irishjohnnie
4 years ago
discuss
844.
▲
Train an AI model on Android without coding, make your own app with it
(github.com/OutSorcerer)
1 point
OutSorcerer
4 years ago
discuss
845.
▲
A large-scale game AI distributed training platform developed for StarCraftII
(github.com/opendilab)
1 point
walterwhd
4 years ago
discuss
846.
▲
Chronicles of Opt-175B Training
(github.com/facebookresearch)
1 point
echen
4 years ago
discuss
847.
▲
Chronicles of Opt-175B Training
(github.com/facebookresearch)
1 point
maxrobeyns
4 years ago
discuss
848.
▲
Training OPT-175 Meta raw log book [pdf]
(github.com/facebookresearch)
1 point
deep_playa
4 years ago
discuss
849.
▲
A minimal VAE trained on Super Mario Bros levels
(github.com/miguelgondu)
1 point
blopeur
4 years ago
discuss
850.
▲
Hawaii Liquidity Pool is a training project to learn Solidity
(github.com/MatteoLeonesi)
1 point
osakabrother
4 years ago
discuss
851.
▲
ASMR High-Speed Train App
(github.com/schultyy)
1 point
neinasaservice
4 years ago
discuss
852.
▲
Mind the gap between the train and the platform:)
(github.com/douglascrockford)
1 point
johnny_reilly
4 years ago
discuss
853.
▲
Ffcv: Train models at a fraction of the cost with accelerated data loading
(github.com/libffcv)
1 point
bp0017
4 years ago
discuss
854.
▲
The Hacker Zephyr: Cross-country hackathon on a train
(github.com/hackclub)
1 point
zachlatta
5 years ago
discuss
855.
▲
Selene – framework for training bio. sequence (genomes) deep learning networks
(github.com/FunctionLab)
1 point
olvy0
5 years ago
discuss
856.
▲
Txtai 3.2 released – Train new models, zero-shot training to build new models
(github.com/neuml)
1 point
dmezzetti
5 years ago
discuss
857.
▲
Real-Esrgan: Training Real-World Blind Super-Resolution with Pure Synthetic Data
(github.com/xinntao)
1 point
lnyan
5 years ago
discuss
858.
▲
Xagents – Train a self-learning algorithm using the command line
(github.com/schissmantics)
1 point
emadboctor
5 years ago
discuss
859.
▲
CodeTrans: State of the Art Pre-Trained Language Models for Source Code
(github.com/agemagician)
1 point
ArtWomb
5 years ago
discuss
860.
▲
Dev-env – Nix with training wheels
(github.com/digital-asset)
1 point
todsacerdoti
5 years ago
discuss
861.
▲
Train SimSiam on cifar10 to 91% accuracy
(github.com/IgorSusmelj)
1 point
isusmelj
5 years ago
discuss
862.
▲
Tez: A simple, to-the-point library to make your pytorch training easy
(github.com/abhishekkrthakur)
1 point
madmax108
6 years ago
discuss
863.
▲
Show HN: SmartGuitarPedal- Guitar plugin plays user trained deep learning models
(github.com/GuitarML)
1 point
keyth72
6 years ago
discuss
864.
▲
Building Better Training Examples
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
discuss
865.
▲
Show HN: Open-source library to push training charts of ML/DL models to Slack
(github.com/lab-ml)
1 point
vpj
6 years ago
discuss
866.
▲
Show HN: Polkaspots – dataset for training machine learning to count dots/blobs
(github.com/jawa0)
1 point
JabavuAdams
6 years ago
discuss
867.
▲
Livelossplot – plug and play live charts for AI model training
(github.com/stared)
1 point
stared
6 years ago
discuss
868.
▲
An open, hackable and free training diary
(github.com/andrewcooke)
1 point
tuxella
6 years ago
discuss
869.
▲
SwAV: Efficient method for pre-training convnets without using annotations
(github.com/facebookresearch)
1 point
homarp
6 years ago
discuss
870.
▲
List of NLP pre-trained model
(github.com/balavenkatesh3322)
1 point
balavenkatesh
6 years ago
discuss
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