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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.

TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning

  • transferlearning
  • domain-adaptation
  • transfer-learning
  • survey

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  • gpt-2
  • adaptation
  • language-model
  • gpt-3

TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.