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451.
▲
YOLO-Label: GUI marking object bounded boxes in images for Yolo NN training
(github.com/developer0hye)
1 point
transpute
a year ago
discuss
452.
▲
Evaluating and Training Multi-Modal Large Language Models for Action Recognition
(github.com/AdaptiveMotorControlLab)
1 point
moatmoat
a year ago
discuss
453.
▲
Modular Quantization Aware Training
(github.com/saqibjaved1)
1 point
moatmoat
a year ago
discuss
454.
▲
Show HN: Dingo – Automate Data Quality Checks Across Pre-Training and SFT Data
(github.com/DataEval)
1 point
e06084
a year ago
discuss
455.
▲
Training Open Instruction-Following Language Models
(github.com/allenai)
1 point
gom_jabbar
2 years ago
discuss
456.
▲
DeepSpeed-Domino: Communication-Free LLM Training Engine
(github.com/microsoft)
1 point
lnyan
2 years ago
discuss
457.
▲
Transform and optimize datasets for fast AI model training
(github.com/Lightning-AI)
1 point
shcheklein
2 years ago
discuss
458.
▲
SAM2Long: Sam 2 for Long Video Segmentation with a Training-Free Memory Tree
(github.com/Mark12Ding)
1 point
taikon
2 years ago
discuss
459.
▲
Fastdata: Library for generating synthetic data for training DL models
(github.com/AnswerDotAI)
1 point
sebg
2 years ago
discuss
460.
▲
Note: A machine learning library with easy training of agents
(github.com/NoteDance)
1 point
thunderbong
2 years ago
discuss
461.
▲
Torchtitan: Large-scale LLM training using native PyTorch
(github.com/pytorch)
1 point
goldemerald
2 years ago
discuss
462.
▲
Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace
(github.com/NoahVl)
1 point
amscotti
2 years ago
discuss
463.
▲
Show HN: Mixed Precision Training from Scratch
(github.com/tspeterkim)
1 point
tspeterkim
2 years ago
discuss
464.
▲
GitHub: Neurallambda/automata: synth data for training FSMs/PDAs/Turing Machines
(github.com/neurallambda)
1 point
neurallambda
2 years ago
discuss
465.
▲
SiLLM – Silicon LLM Training and Inference Toolkit
(github.com/armbues)
1 point
tosh
2 years ago
discuss
466.
▲
Schedule Free – Faster training without schedules
(github.com/facebookresearch)
1 point
ovyan
2 years ago
discuss
467.
▲
Note: Easily implement distributed training, machine learning library
(github.com/NoteDance)
1 point
thunderbong
2 years ago
discuss
468.
▲
FastChat: An open platform for training and serving large language models
(github.com/lm-sys)
1 point
aussieguy1234
2 years ago
discuss
469.
▲
Show HN: Benchmark Deep CV Training Pipelines in Less Than 3 Minutes
(github.com/tensorpix)
1 point
barty777
2 years ago
discuss
470.
▲
Watching training metrics is a time killer and addictive, so I made slackker
(github.com/siddheshgunjal)
1 point
siddheshgunjal
3 years ago
discuss
471.
▲
Accurate and Efficient Post-Training Quantization for Large Language Models
(github.com/mit-han-lab)
1 point
mbowcut2
3 years ago
discuss
472.
▲
Improving Training Stability for Multitask Ranking Models in Recommender Systems
(github.com/ledmaster)
1 point
mariofilho
3 years ago
discuss
473.
▲
Show HN: Multi node training of Llama 70B without crying
(github.com/higgsfield)
1 point
amashrabov
3 years ago
discuss
474.
▲
Composer – A PyTorch Library for Efficient Neural Network Training
(github.com/mosaicml)
1 point
SiempreViernes
3 years ago
discuss
475.
▲
NanoT5: T5 encoder/decoder training in under 24 hours on a single GPU
(github.com/PiotrNawrot)
1 point
bravura
3 years ago
discuss
476.
▲
NerfAcc: A PyTorch Nerf acceleration toolbox for both training and inference
(github.com/KAIR-BAIR)
1 point
PaulHoule
3 years ago
discuss
477.
▲
Open Flamingo: An open-source framework for training large multimodal models
(github.com/mlfoundations)
1 point
danboarder
3 years ago
discuss
478.
▲
NanoT5 (Encoder-Decoder / Pre-Training and Fine-Tuning)
(github.com/PiotrNawrot)
1 point
gfortaine
3 years ago
discuss
479.
▲
Training NeRF Without CUDA
(github.com/taichi-dev)
1 point
cargoray
3 years ago
discuss
480.
▲
Meta OPT-175B LLM training logbook [pdf]
(github.com/facebookresearch)
1 point
HillRat
3 years ago
discuss
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