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lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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- rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Why this match
topics artificial-intelligence, attention-mechanism, transformers; language differs: Python → Jupyter Notebook
- pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
Why this match
topics computer-vision; license differs: MIT → BSD-3-Clause
- SerpentAI/SerpentAI
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Why this match
topics artificial-intelligence, computer-vision
- lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Why this match
topics artificial-intelligence, transformers
- microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
Why this match
topics artificial-intelligence, computer-vision, image-classification; language differs: Python → Jupyter Notebook
- voxel51/fiftyone
Refine high-quality datasets and visual AI models
Why this match
topics artificial-intelligence, computer-vision, image-classification; language differs: Python → TypeScript; license differs: MIT → Apache-2.0
- ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Why this match
topics artificial-intelligence
- BlinkDL/RWKV-LM
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Why this match
topics attention-mechanism, transformers; license differs: MIT → Apache-2.0