Deep-Learning-Experiments VS adaptnlp

Compare Deep-Learning-Experiments vs adaptnlp and see what are their differences.

Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning (by roatienza)
Deep Learning deep-learning-tutorial Artificial intelligence Pytorch Vision Speech NLP
Source Code
Suggest alternative
Edit details

adaptnlp

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models. (by Novetta)
NLP Pytorch Transformers Natural Language Processing Machine Learning Deep Learning deep-learning-tutorial Docker fine-tuning language-models Easy api-rest Bert Gpt Xlnet GPU ulmfit
Source Code
novetta.github.io
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Deep-Learning-Experiments adaptnlp
1 2
1,081 414
- 0.0%
8.3 0.0
about 1 month ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-Experiments

Posts with mentions or reviews of Deep-Learning-Experiments. We have used some of these posts to build our list of alternatives and similar projects.
  • EEE 197 - Deep Learning
    1 project | /r/peyups | 25 Aug 2022
    Hello, took the course last sem. Maraming napa-drop sa amin dahil sa difficulty nung assignments pero doable naman. Open-source mismo yung course, available sya sa GitHub: https://github.com/roatienza/Deep-Learning-Experiments

adaptnlp

Posts with mentions or reviews of adaptnlp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-Experiments and adaptnlp you can also consider the following projects:

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

DeepLearning - Contains all my works, references for deep learning

keytotext - Keywords to Sentences

python_autocomplete - Use Transformers and LSTMs to learn Python source code

fastai - The fastai deep learning library

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

pytorch-deepdream - PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

browser-ml-inference - Edge Inference in Browser with Transformer NLP model

TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.

Deep-Learning-Experiments vs conformal_classification adaptnlp vs Basic-UI-for-GPT-J-6B-with-low-vram Deep-Learning-Experiments vs DeepLearning adaptnlp vs keytotext Deep-Learning-Experiments vs python_autocomplete adaptnlp vs fastai Deep-Learning-Experiments vs nn adaptnlp vs gector Deep-Learning-Experiments vs pytorch-deepdream adaptnlp vs browser-ml-inference Deep-Learning-Experiments vs TTS adaptnlp vs Transformers-Tutorials