FinBERT VS CodeSearchNet

Compare FinBERT vs CodeSearchNet and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
FinBERT CodeSearchNet
1 2
519 1,904
- -
0.0 0.0
9 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

FinBERT

Posts with mentions or reviews of FinBERT. We have used some of these posts to build our list of alternatives and similar projects.
  • New to hugginface - A question
    1 project | /r/huggingface | 26 Sep 2022
    For FinBERT the trained model has an Apache license https://github.com/yya518/FinBERT/blob/master/LICENSE but the data is semi-public so I would be careful for commercial use.

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 FinBERT and CodeSearchNet you can also consider the following projects:

SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)

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

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

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

indonlu - The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

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)

converse - Conversational text Analysis using various NLP techniques

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

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.

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!

hashformers - Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

trulens - Evaluation and Tracking for LLM Experiments