YPDL-SentimentAnalysis-LR VS CodeSearchNet

Compare YPDL-SentimentAnalysis-LR vs CodeSearchNet and see what are their differences.

YPDL-SentimentAnalysis-LR

While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning. (by IBMDeveloperMEA)
Data Science Machine Learning logistic-regression movie-reviews NLP nlp-machine-learning
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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

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YPDL-SentimentAnalysis-LR CodeSearchNet
1 2
11 1,904
- -
0.0 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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YPDL-SentimentAnalysis-LR

Posts with mentions or reviews of YPDL-SentimentAnalysis-LR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

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 YPDL-SentimentAnalysis-LR and CodeSearchNet you can also consider the following projects:

YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow

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

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

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)

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

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!

trulens - Evaluation and Tracking for LLM Experiments

SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader

MetalTranslate - Customizable machine translation in C++

eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions

azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

creative-prediction - Creative Prediction with Neural Networks

YPDL-SentimentAnalysis-LR vs YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow CodeSearchNet vs AI-For-Beginners CodeSearchNet vs data CodeSearchNet vs awesome-speech-recognition-speech-synthesis-papers CodeSearchNet vs pycaret CodeSearchNet vs pytorch-GAT CodeSearchNet vs trulens CodeSearchNet vs SimpNet-Deep-Learning-in-a-Shader CodeSearchNet vs MetalTranslate CodeSearchNet vs eli5 CodeSearchNet vs azureml-examples CodeSearchNet vs creative-prediction