Tamerkobba

Tamerkobba's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.5k418694.3k

• mbadry1/DeepLearning.ai-Summary

  This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

  Language:Python5.2k190172.4k

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.3k30402.3k

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k282520

• LukeDitria/pytorch_tutorials

  Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!

  Language:Jupyter Notebook2673162

• can1357/simple_cnn

  Simple Convolutional Neural Network Library

  Language:C++19018767

• zhxfl/CUDA-CNN

  CNN accelerated by cuda. Test on mnist and finilly get 99.76%

  Language:Cuda18425585

• RoundtableML/ML-Fundamentals-Reading-Lists

  121006

• paramhanji/CUDA-CNN

  Implementation of a simple CNN using CUDA

  Language:Cuda652321

• cdeotte/MNIST-CNN-99.5

  Language:C411011

• daiviknema/cpp-cnn

  CNN implementation from scratch

  Language:C++365118

• euske/nn1

  Convolutional Neural Network in C (for educational purposes)

  Language:C26303

• brandontrabucco/lstm-cuda

  This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA

  Language:Cuda223111

• Sagar-modelling/Handwriting_Recognition_CRNN_LSTM

  In this notebook, we'll go through the steps to train a CRNN (CNN+RNN) model for handwriting recognition. The model will be trained using the CTC(Connectionist Temporal Classification) loss.

  Language:Jupyter Notebook13106

• nihil21/parallel_nn

  C++ implementation of a neural network using OpenMP and CUDA for parallelization.

  Language:Cuda8102

• DavieHR/animating-pictures-with-eulerian-motion

  Language:Python5112

• shmuhammadd/ml-with-Pytorch-and-Sklearn

  Notebooks and recordings from our bookclub Machine Learning with Pytorch and Sklearn

  2102

• osushkov/rnn_optimised

  Optimised cuda implementation of an RNN.

  Language:C++120