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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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moshesipper / Applied-Machine-Learning-Course

Star 32

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

machine-learning deep-neural-networks course deep-learning genetic-algorithm machine-learning-algorithms artificial-intelligence genetic-programming evolutionary-algorithms artificial-neural-networks machinelearning deeplearning evolutionary-algorithm evolutionary-computation
  • Updated Jun 1, 2024
  • Python

SreecharanV / Building-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data

Star 0

This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.

qa machine-learning natural-language-processing question-answering adaptive-learning machinelearning questions-and-answers squad nlp-machine-learning bert natural-language-understanding bert-model jeopardy-trivia finetuning-large-language-models
  • Updated Jun 1, 2024
  • Jupyter Notebook

NoteDance / Note

Star 37

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

python machine-learning reinforcement-learning deep-learning neural-network tensorflow ml deep-reinforcement-learning pytorch artificial-intelligence rl machinelearning deeplearning dl neuralnetwork drl distributed-training reinforcementlearning parallel-training deepreinforcementlearning
  • Updated May 31, 2024
  • Python

nschaetti / EchoTorch

Star 437

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

python machine-learning machine-learning-algorithms torch pytorch recurrent-neural-networks artificial-intelligence recurrent-networks neural-networks python-toolkit artificial-neural-networks machinelearning echo-state-networks reservoir-computing
  • Updated May 31, 2024
  • Python
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