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241.
▲
Training and inference code for audio generation models
(github.com/Stability-AI)
3 points
treesciencebot
3 years ago
discuss
242.
▲
Show HN: Every Breath You Take – Heart Rate Variability Training
(github.com/kbre93)
3 points
kbre93
3 years ago
discuss
243.
▲
An open platform for training, serving, and evaluating large language models
(github.com/lm-sys)
3 points
udev4096
3 years ago
discuss
244.
▲
Show HN: This project allows you to easily implement parallel training
(github.com/NoteDancing)
3 points
NoteDancing
3 years ago
discuss
245.
▲
Local working implementations of distributed ML model training
(github.com/hundredblocks)
3 points
e_ameisen
3 years ago
discuss
246.
▲
Cramming the training of a (BERT-type) language model into limited compute
(github.com/JonasGeiping)
3 points
homarp
3 years ago
discuss
247.
▲
ControlFlag – flag anomalous source code by learning from training data
(github.com/IntelLabs)
3 points
pabs3
4 years ago
discuss
248.
▲
Large-Scale Self-Supervised Pre-Training Across Tasks, Languages, and Modalities
(github.com/microsoft)
3 points
axiomdata316
4 years ago
discuss
249.
▲
KataGo: AlphaZero-like training with only 47 GPUs
(github.com/lightvector)
3 points
gslin
6 years ago
discuss
250.
▲
Show HN: Livelossplot – Keras and PyTorch training charts in Jupyter Notebook
(github.com/stared)
3 points
stared
6 years ago
discuss
251.
▲
AI library: Automatic training on multiple models, automatic data preprocessing
(github.com/FanaticPythoner)
3 points
NoOne123
6 years ago
discuss
252.
▲
DeepSpeed: Deep learning optimization library for easy distributed training
(github.com/microsoft)
3 points
minimaxir
6 years ago
discuss
253.
▲
Breathly: Open-source react-native breathing training app
(github.com/mmazzarolo)
3 points
mmazzarolo
7 years ago
discuss
254.
▲
Go Training Class Material from ArdanLabs
(github.com/ardanlabs)
3 points
alexellisuk
7 years ago
discuss
255.
▲
Ernie 2.0: A Continual Pre-Training Framework for Language Understanding
(github.com/TarrySingh)
3 points
ingve
7 years ago
discuss
256.
▲
AshPy: TensorFlow 2.0 library for quick model prototyping, training, and eval
(github.com/zurutech)
3 points
me2too
7 years ago
discuss
257.
▲
Larq – An Open-Source Library for Training Binarized Neural Networks
(github.com/larq)
3 points
roeland
7 years ago
discuss
258.
▲
BytePS: A high performance and general PS framework for distributed training
(github.com/bytedance)
3 points
changlan
7 years ago
discuss
259.
▲
Training worm brains to recognize digits
(github.com/vinayprabhu)
3 points
VinayUPrabhu
7 years ago
discuss
260.
▲
Microsoft has open sourced their Front end Bootcamp training materials
(github.com/Microsoft)
3 points
saranshk
7 years ago
discuss
261.
▲
Chainer implementation of “BERT: Pre-training
(github.com/soskek)
3 points
neuhaus
8 years ago
discuss
262.
▲
NVVL: NVIDIA Video Loader – open source library to load video for DL training
(github.com/NVIDIA)
3 points
jcasper
8 years ago
discuss
263.
▲
Pixplz: get training images in a hurry
(github.com/paulfitz)
3 points
paulfitz
9 years ago
discuss
264.
▲
Andrew Ng's Recipes to Handle Different Training and Test Set Distributions
(gist.github.com)
3 points
aaronyy
9 years ago
discuss
265.
▲
DeepCL – OpenCL Library for Training Deep Convolutional Neural Networks
(github.com/hughperkins)
3 points
mindcrime
10 years ago
discuss
266.
▲
AXS-6: Adaptive EXponent Sharing – 6-Bit Training Format
(github.com/bwiemz)
2 points
AkaiNa
4 months ago
5 comments
267.
▲
FMLLM: 4mb training data, 100mb model, Fibonacci embeddings, near-coherent. WTF?
(github.com/henrygabriels)
2 points
gabriel666smith
10 months ago
5 comments
268.
▲
Show HN: Lossless Semantic Matrix Analysis (99.999% accuracy, no training)
2 points
AyodeleFikayomi
10 months ago
4 comments
269.
▲
Show HN: Remote – A CLI tool for distributed PyTorch model training
(github.com/lab-ml)
2 points
vpj
6 years ago
3 comments
270.
▲
Show HN: My progress towards building a robotics training dataset
(app.rerun.io)
2 points
pablovelagomez
a year ago
2 comments
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