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Le The Anh's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bi-lstm_crf_ner icon bi-lstm_crf_ner

Bidirectional LSTM Conditional Random Field for Named Entity Recognition

bilstm icon bilstm

A BiLSTM in Keras for POS tagging

c-programming icon c-programming

This repository provides all necessary materials, including reference books, lecture slides, examples, and assignments, for the PRF192 course at FPT university.

char-embeddings icon char-embeddings

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

cifar-vgg icon cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

cifar100 icon cifar100

Convolution neural networks to classify cifar 100 images

convex_adversarial icon convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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