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451.
▲
The Guardian Headline Entailment Training Dataset
github.com/daoudclarke
discuss
14 years ago
daoudc
1 points
452.
▲
Training VLA Models with Normalizing Flows
github.com/dunnolab
discuss
9 months ago
vokneruk
1 points
453.
▲
Internal Coherence Maximization(ICM): Label-Free Unsupervised Training Framework
github.com/codelion
discuss
10 months ago
codelion
1 points
454.
▲
Show HN: Experimental distributed AI training tool with P2P
github.com/efeDeGurates
discuss
a year ago
cucumber35
1 points
455.
▲
Show HN: Energy-Efficient NAS via RBF Kernel Scoring (No GPU Training Needed)
youtube.com
discuss
a year ago
Tomomasa
1 points
456.
▲
YOLO-Label: GUI marking object bounded boxes in images for Yolo NN training
github.com/developer0hye
discuss
a year ago
transpute
1 points
457.
▲
Evaluating and Training Multi-Modal Large Language Models for Action Recognition
github.com/AdaptiveMotorControlLab
discuss
a year ago
moatmoat
1 points
458.
▲
Modular Quantization Aware Training
github.com/saqibjaved1
discuss
a year ago
moatmoat
1 points
459.
▲
Show HN: Dingo – Automate Data Quality Checks Across Pre-Training and SFT Data
github.com/DataEval
discuss
a year ago
e06084
1 points
460.
▲
Training Open Instruction-Following Language Models
github.com/allenai
discuss
2 years ago
gom_jabbar
1 points
461.
▲
DeepSpeed-Domino: Communication-Free LLM Training Engine
github.com/microsoft
discuss
2 years ago
lnyan
1 points
462.
▲
Transform and optimize datasets for fast AI model training
github.com/Lightning-AI
discuss
2 years ago
shcheklein
1 points
463.
▲
SAM2Long: Sam 2 for Long Video Segmentation with a Training-Free Memory Tree
github.com/Mark12Ding
discuss
2 years ago
taikon
1 points
464.
▲
Fastdata: Library for generating synthetic data for training DL models
github.com/AnswerDotAI
discuss
2 years ago
sebg
1 points
465.
▲
Note: A machine learning library with easy training of agents
github.com/NoteDance
discuss
2 years ago
thunderbong
1 points
466.
▲
Torchtitan: Large-scale LLM training using native PyTorch
github.com/pytorch
discuss
2 years ago
goldemerald
1 points
467.
▲
Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace
github.com/NoahVl
discuss
2 years ago
amscotti
1 points
468.
▲
Show HN: Mixed Precision Training from Scratch
github.com/tspeterkim
discuss
2 years ago
tspeterkim
1 points
469.
▲
GitHub: Neurallambda/automata: synth data for training FSMs/PDAs/Turing Machines
github.com/neurallambda
discuss
2 years ago
neurallambda
1 points
470.
▲
SiLLM – Silicon LLM Training and Inference Toolkit
github.com/armbues
discuss
2 years ago
tosh
1 points
471.
▲
Schedule Free – Faster training without schedules
github.com/facebookresearch
discuss
2 years ago
ovyan
1 points
472.
▲
Note: Easily implement distributed training, machine learning library
github.com/NoteDance
discuss
2 years ago
thunderbong
1 points
473.
▲
FastChat: An open platform for training and serving large language models
github.com/lm-sys
discuss
2 years ago
aussieguy1234
1 points
474.
▲
Show HN: Benchmark Deep CV Training Pipelines in Less Than 3 Minutes
github.com/tensorpix
discuss
3 years ago
barty777
1 points
475.
▲
Watching training metrics is a time killer and addictive, so I made slackker
github.com/siddheshgunjal
discuss
3 years ago
siddheshgunjal
1 points
476.
▲
Accurate and Efficient Post-Training Quantization for Large Language Models
github.com/mit-han-lab
discuss
3 years ago
mbowcut2
1 points
477.
▲
Improving Training Stability for Multitask Ranking Models in Recommender Systems
github.com/ledmaster
discuss
3 years ago
mariofilho
1 points
478.
▲
Show HN: Multi node training of Llama 70B without crying
github.com/higgsfield
discuss
3 years ago
amashrabov
1 points
479.
▲
Composer – A PyTorch Library for Efficient Neural Network Training
github.com/mosaicml
discuss
3 years ago
SiempreViernes
1 points
480.
▲
NanoT5: T5 encoder/decoder training in under 24 hours on a single GPU
github.com/PiotrNawrot
discuss
3 years ago
bravura
1 points
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