LSTM-Human-Activity-Recognition VS CodeSearchNet

Compare LSTM-Human-Activity-Recognition vs CodeSearchNet and see what are their differences.

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 (by guillaume-chevalier)
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LSTM-Human-Activity-Recognition CodeSearchNet
1 2
3,265 1,904
- -
0.0 0.0
over 1 year ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

LSTM-Human-Activity-Recognition

Posts with mentions or reviews of LSTM-Human-Activity-Recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

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 LSTM-Human-Activity-Recognition and CodeSearchNet you can also consider the following projects:

telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

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

learning-to-learn-jax - JAX implementation of Learning to learn by gradient descent by gradient descent

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)

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.

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

chicksexer - A Python package for gender classification.

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!

sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.

trulens - Evaluation and Tracking for LLM Experiments