autoFoley VS CodeSearchNet

Compare autoFoley vs CodeSearchNet and see what are their differences.

autoFoley

Model : Give me a silent video...And I'm gonna to tell you what's happening in the video.. Will also add a new relevant background audio each time you use me. ..Thanks to deep Learning!! (by abhishek0093)
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autoFoley CodeSearchNet
1 2
21 1,904
- -
10.0 0.0
over 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

autoFoley

Posts with mentions or reviews of autoFoley. We have used some of these posts to build our list of alternatives and similar projects.
  • Progress into AI audio foley models?
    1 project | /r/StableDiffusion | 1 May 2023
    The best thing I've found on Google is this old AutoFoley experiment from Feb 2020 and a GitHub project, but it's all very rough around the edges. It's also based around IPYNB files for Google Colab, instead of using a local NVIDIA video card.

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 autoFoley and CodeSearchNet you can also consider the following projects:

introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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)

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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++