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811.
▲
Schedule Free – Faster training without schedules
(github.com/facebookresearch)
1 point
ovyan
2 years ago
discuss
812.
▲
Note: Easily implement distributed training, machine learning library
(github.com/NoteDance)
1 point
thunderbong
2 years ago
discuss
813.
▲
Show HN: workin – A web app to create and run smart trainer workouts
(github.com/jsmolka)
1 point
jsmolka
2 years ago
discuss
814.
▲
Train LightGBM in Rust calling Optuna and Botorch from Python to hyperpar search
(github.com/randommm)
1 point
random_
2 years ago
discuss
815.
▲
FastChat: An open platform for training and serving large language models
(github.com/lm-sys)
1 point
aussieguy1234
2 years ago
discuss
816.
▲
Show HN: Benchmark Deep CV Training Pipelines in Less Than 3 Minutes
(github.com/tensorpix)
1 point
barty777
2 years ago
discuss
817.
▲
Show HN: Daily algos trainer with progress tracking
(github.com/kwkr)
1 point
zukerpie
3 years ago
discuss
818.
▲
Watching training metrics is a time killer and addictive, so I made slackker
(github.com/siddheshgunjal)
1 point
siddheshgunjal
3 years ago
discuss
819.
▲
A LLM trained to follow annotation guidelines, for information extraction tasks
(github.com/hitz-zentroa)
1 point
crisagaz
3 years ago
discuss
820.
▲
Accurate and Efficient Post-Training Quantization for Large Language Models
(github.com/mit-han-lab)
1 point
mbowcut2
3 years ago
discuss
821.
▲
Improving Training Stability for Multitask Ranking Models in Recommender Systems
(github.com/ledmaster)
1 point
mariofilho
3 years ago
discuss
822.
▲
Show HN: Multi node training of Llama 70B without crying
(github.com/higgsfield)
1 point
amashrabov
3 years ago
discuss
823.
▲
Composer – A PyTorch Library for Efficient Neural Network Training
(github.com/mosaicml)
1 point
SiempreViernes
3 years ago
discuss
824.
▲
NanoT5: T5 encoder/decoder training in under 24 hours on a single GPU
(github.com/PiotrNawrot)
1 point
bravura
3 years ago
discuss
825.
▲
NerfAcc: A PyTorch Nerf acceleration toolbox for both training and inference
(github.com/KAIR-BAIR)
1 point
PaulHoule
3 years ago
discuss
826.
▲
Train a multi-modal chatbot with visual and language instructions
(github.com/open-mmlab)
1 point
trevorhlynn
3 years ago
discuss
827.
▲
Empowering Large Pre-Trained Language Models to Follow Complex Instructions
(github.com/nlpxucan)
1 point
sharemywin
3 years ago
discuss
828.
▲
Open Flamingo: An open-source framework for training large multimodal models
(github.com/mlfoundations)
1 point
danboarder
3 years ago
discuss
829.
▲
NanoT5 (Encoder-Decoder / Pre-Training and Fine-Tuning)
(github.com/PiotrNawrot)
1 point
gfortaine
3 years ago
discuss
830.
▲
Training NeRF Without CUDA
(github.com/taichi-dev)
1 point
cargoray
3 years ago
discuss
831.
▲
Show HN: Argilla and AutoTrain – Train custom NLP models without code
(github.com/argilla-io)
1 point
dvsuero
3 years ago
discuss
832.
▲
Meta OPT-175B LLM training logbook [pdf]
(github.com/facebookresearch)
1 point
HillRat
3 years ago
discuss
833.
▲
BioGPT: Generative Pre-Trained Transformer for Biomedical Text Generation
(github.com/microsoft)
1 point
jmngomes
3 years ago
discuss
834.
▲
PyTorch Lightning – DL framework to train, deploy, and ship AI fast
(github.com/Lightning-AI)
1 point
punnerud
3 years ago
discuss
835.
▲
Get Off The Popular Train With Freeform Radio
(cacciatc.github.com)
1 point
cacciatc
14 years ago
discuss
836.
▲
trl: Train transformer language models with reinforcement learning
(github.com/lvwerra)
1 point
tosh
4 years ago
discuss
837.
▲
Easy-to-use image segmentation library with pre-trained model zoo
(github.com/PaddlePaddle)
1 point
yoquan
4 years ago
discuss
838.
▲
Notes on Building a Modern Typing Training App: Code Based Training
(gist.github.com)
1 point
typingcyclist
4 years ago
discuss
839.
▲
Pre-Trained Word Embeddings in an Embedding Layer
(github.com/nlptechbook)
1 point
jxireal
4 years ago
discuss
840.
▲
GLM-130B: An Open Bilingual Pre-Trained Model with 130B Parameters
(github.com/THUDM)
1 point
lnyan
4 years ago
discuss
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