hashformers VS CodeSearchNet

Compare hashformers vs CodeSearchNet and see what are their differences.

hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs). (by ruanchaves)
hashtag-segmentor word-segmentation Transformers transformers-gpt2 Deep Learning NLP Twitter tweet-analysis tweets-classification sentiment-analysis sentiment-classification sentiment-polarity twitter-sentiment-analysis Natural Language Processing Bert Transformer Segmentation Paper large-language-models llms
Source Code
Suggest alternative
Edit details

CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code. (by github)
Deep Learning Natural Language Processing programming-language-theory Machine Learning Tensorflow Datasets Data Science machine-learning-on-source-code representation-learning neural-networks Python ML open-data Data Cnn Rnn self-attention Bert NLP nlp-machine-learning

DISCONTINUED

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
hashformers CodeSearchNet
2 2
63 1,904
- -
6.2 0.0
11 months ago over 2 years ago
Python Jupyter Notebook
MIT License MIT License
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.

hashformers

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

CodeSearchNet

Posts with mentions or reviews of CodeSearchNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.
  • Fine tuning
    2 projects | /r/ChatGPTCoding | 4 Apr 2023
    The CodeSearchNet challenge provides a dataset of code documentation comments, along with pre-trained models and fine-tuning scripts. You can find the challenge and resources at https://github.com/github/CodeSearchNet.
  • Speedtyper.dev: Type racing for programmers
    2 projects | /r/webdev | 16 Jan 2021
    https://github.com/github/CodeSearchNet#downloading-data-from-s3

What are some alternatives?

When comparing hashformers and CodeSearchNet you can also consider the following projects:

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

data - Data and code behind the articles and graphics at FiveThirtyEight

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

should-i-follow - 🦄 An NLP application just for the lols: built with Haystack to get an overview of what a user is posting about on Twitter

pycaret - An open-source, low-code machine learning library in Python

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

hate-speech-and-offensive-language - Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

trulens - Evaluation and Tracking for LLM Experiments

hashformers vs Twitter-sentiment-analysis CodeSearchNet vs AI-For-Beginners hashformers vs NewsMTSC CodeSearchNet vs data hashformers vs FinBERT CodeSearchNet vs awesome-speech-recognition-speech-synthesis-papers hashformers vs should-i-follow CodeSearchNet vs pycaret hashformers vs cellpose CodeSearchNet vs pytorch-GAT hashformers vs hate-speech-and-offensive-language CodeSearchNet vs trulens