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631.
▲
Why we need Reinforcement Learning for Language Model training
(gist.github.com)
2 points
yamrzou
3 years ago
discuss
632.
▲
18xx.Games: open-source platform to play hardcore economic train games
(github.com/tobymao)
2 points
captaintobs
3 years ago
discuss
633.
▲
Databricks’ Dolly, a large language model trained on the Databricks ML Platform
(github.com/databrickslabs)
2 points
textread
3 years ago
discuss
634.
▲
Tortoise-tts: A multi-voice TTS system trained with an emphasis on quality
(github.com/neonbjb)
2 points
ducktective
3 years ago
discuss
635.
▲
Show HN: Part 4: Train CIFAR10 to 94% in under 8 seconds on a single A100
(github.com/tysam-code)
2 points
tysam_and
3 years ago
discuss
636.
▲
Blip-2: harvesting development of pretrained vision models for LLM training
(github.com/salesforce)
2 points
anigbrowl
3 years ago
discuss
637.
▲
The simplest, fastest repository for training and fine-tuning medium-sized GPTs
(github.com/karpathy)
2 points
Terretta
3 years ago
discuss
638.
▲
KataGo changes training framework from TensorFlow to PyTorch
(github.com/lightvector)
2 points
gslin
3 years ago
discuss
639.
▲
Show HN: Slack bot to monitor/stop/restart ML model training remotely
(github.com/rahuldan)
2 points
rahuldan
4 years ago
discuss
640.
▲
Show HN: Train Stable Diffusion Dreambooth on 1080ti
(github.com/smy20011)
2 points
smy20011
4 years ago
discuss
641.
▲
The Hacker Zephyr: A cross-country hackathon on a train!
(github.com/hackclub)
2 points
zachlatta
4 years ago
discuss
642.
▲
Colossal-AI: A Unified Deep Learning System for Large-Scale Training
(github.com/hpcaitech)
2 points
forrest_blue
4 years ago
discuss
643.
▲
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
(github.com/hpcaitech)
2 points
forrest_blue
4 years ago
discuss
644.
▲
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
(github.com/f-dangel)
2 points
dsr12
5 years ago
discuss
645.
▲
VeGANs: A Python library to train various existing GANs
(github.com/unit8co)
2 points
hrzn
5 years ago
discuss
646.
▲
AutoNLP: Faster and easier training and deployments of SOTA NLP models
(github.com/huggingface)
2 points
dsr12
5 years ago
discuss
647.
▲
Clip – a neural network trained on a variety of (image, text) pairs
(github.com/openai)
2 points
prakhargurunani
5 years ago
discuss
648.
▲
Show HN: Livelossplot – Live deep learning training plots in Jupyter Notebook
(github.com/stared)
2 points
stared
5 years ago
discuss
649.
▲
Pre-Trained Natural Language Understanding for Task-Oriented Dialogues
(github.com/jasonwu0731)
2 points
7d7n
6 years ago
discuss
650.
▲
Generate training data for supervised learning
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
651.
▲
Build training examples without manually labeling
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
652.
▲
Carbontracker: Track the energy consumption of training deep learning models
(github.com/lfwa)
2 points
polm23
6 years ago
discuss
653.
▲
Train OpenAI's Image GPT in 2 Hours Using PyTorch Lightning
(github.com/teddykoker)
2 points
wfalcon
6 years ago
discuss
654.
▲
Determined: Open-Source Deep Learning Training Platform
(github.com/determined-ai)
2 points
neilc
6 years ago
discuss
655.
▲
DataGene – A Python Package to Measures Similarity of Synthetic or Train Sets
(github.com/firmai)
2 points
firedup
6 years ago
discuss
656.
▲
Determined: Deep Learning Training Platform
(github.com/determined-ai)
2 points
blopeur
6 years ago
discuss
657.
▲
Determined-AI: open source Deep Learning Training Platform
(github.com/determined-ai)
2 points
Anon84
6 years ago
discuss
658.
▲
Annie, the Anxiety chatbot trained using top Reddit posts and comments
2 points
Traolach
6 years ago
discuss
659.
▲
Show HN: An open-source listing of developer conferences, meetups and training
(github.com/unicorncoding)
2 points
codingunicorn
6 years ago
discuss
660.
▲
Show HN: Gpt2bot – A new Telegram chatbot trained on gigs of Reddit discussions
(github.com/polakowo)
2 points
polakowo
6 years ago
discuss
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