NeuralNetworks
transfer-learning-conv-ai
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| NeuralNetworks | transfer-learning-conv-ai | |
|---|---|---|
| 4 | 3 | |
| 65 | 1,711 | |
| - | 0.2% | |
| 0.0 | 0.0 | |
| over 1 year ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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NeuralNetworks
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I created a video about how you can train a neural network (in python) to learn complex image/video classification tasks (like in-game detection) using transfer learning! The GitHub repo is linked in the video description. Hope this is useful or helpful for some of you guys :-)
Here’s the GitHub link for anyone else like me who didn’t want to have to go to YouTube to get it.
- [P][Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- We created a neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- [Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
transfer-learning-conv-ai
- will gpt2 run in my laptop
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[D] [R] Dialogue generation with contrastive objectives
Code for https://arxiv.org/abs/1901.08149 found: https://github.com/huggingface/transfer-learning-conv-ai
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Messing around with an AI
https://github.com/huggingface/transfer-learning-conv-ai (Requires an hefty GPU though...)
What are some alternatives?
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
GPT2-Chinese - Chinese version of GPT2 training code, using BERT tokenizer.
DeepFake-Detection - Towards deepfake detection that actually works
sense - Enhance your application with the ability to see and interact with humans using any RGB camera.
DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
Code-LMs - Guide to using pre-trained large language models of source code
AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
autogluon - Fast and Accurate ML in 3 Lines of Code
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"