PAWS-TF
CodeSearchNet
PAWS-TF | CodeSearchNet | |
---|---|---|
1 | 2 | |
43 | 1,904 | |
- | - | |
1.8 | 0.0 | |
almost 3 years ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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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.
PAWS-TF
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Semi-Supervised Learning with Paws in TensorFlow
PAWS introduces a way to combine a small fraction of labeled samples with unlabeled ones during the pre-training of vision models. With its simple and unique approach, it sets SOTA in semi-supervised learning that too with far less compute and parameters.
Here's my implementation of PAWS in TensorFlow: https://github.com/sayakpaul/PAWS-TF/
CodeSearchNet
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Fine tuning
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.
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Speedtyper.dev: Type racing for programmers
https://github.com/github/CodeSearchNet#downloading-data-from-s3
What are some alternatives?
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
data - Data and code behind the articles and graphics at FiveThirtyEight
TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation
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)
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
pycaret - An open-source, low-code machine learning library in Python
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
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